An integrated approach to goal-directed obstacle avoidance under dynamic constraints for dynamic environments. - Cyrill Stachniss; Wolfram Burgard (IROS, 2002)

Exploring Unknown Environments with Mobile Robots using Coverage Maps. - Cyrill Stachniss; Wolfram Burgard (IJCAI, 2003)

Mapping and exploration with mobile robots using coverage maps. - Cyrill Stachniss; Wolfram Burgard (IROS, 2003)

Exploration with active loop-closing for FastSLAM. - Cyrill Stachniss; Dirk Hähnel; Wolfram Burgard (IROS, 2004)

Semantic Place Classification of Indoor Environments with Mobile Robots Using Boosting. - Axel Rottmann; Óscar Martínez Mozos; Cyrill Stachniss; Wolfram Burgard (AAAI, 2005)

Mobile Robot Mapping and Localization in Non-Static Environments. - Cyrill Stachniss; Wolfram Burgard (AAAI, 2005)

Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling. - Giorgio Grisetti; Cyrill Stachniss; Wolfram Burgard (ICRA, 2005)

Supervised Learning of Places from Range Data using AdaBoost. - Óscar Martínez Mozos; Cyrill Stachniss; Wolfram Burgard (ICRA, 2005)

Recovering Particle Diversity in a Rao-Blackwellized Particle Filter for SLAM After Actively Closing Loops. - Cyrill Stachniss; Giorgio Grisetti; Wolfram Burgard (ICRA, 2005)

Using AdaBoost for Place Labeling and Topological Map Building. - Óscar Martínez Mozos; Cyrill Stachniss; Axel Rottmann; Wolfram Burgard (ISRR, 2005)

Information Gain-based Exploration Using Rao-Blackwellized Particle Filters. - Cyrill Stachniss; Giorgio Grisetti; Wolfram Burgard (Robotics: Science and Systems, 2005)

On actively closing loops in grid-based FastSLAM. - Cyrill Stachniss; Dirk Hähnel; Wolfram Burgard; Giorgio Grisetti (Adv. Robotics, 2005)

TOURBOT and WebFAIR: Web-operated mobile robots for tele-presence in populated exhibitions. - Panos E. Trahanias; Wolfram Burgard; Antonis A. Argyros; Dirk Hähnel; Haris Baltzakis; Patrick Pfaff; Cyrill Stachniss (IEEE Robotics Autom. Mag., 2005)

Coordinated multi-robot exploration. - Wolfram Burgard; Mark Moors; Cyrill Stachniss; Frank E. Schneider (IEEE Trans. Robotics, 2005)

Metric Localization with Scale-Invariant Visual Features Using a Single Perspective Camera. - Maren Bennewitz; Cyrill Stachniss; Wolfram Burgard; Sven Behnke (EUROS, 2006)

Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters. - Christian Plagemann; Cyrill Stachniss; Wolfram Burgard (EUROS, 2006)

Speeding-up Rao-blackwellized SLAM. - Giorgio Grisetti; Gian Diego Tipaldi; Cyrill Stachniss; Wolfram Burgard; Daniele Nardi (ICRA, 2006)

Speeding-up Multi-robot Exploration by Considering Semantic Place Information. - Cyrill Stachniss; Óscar Martínez Mozos; Wolfram Burgard (ICRA, 2006)

Improving Data Association in Vision-based SLAM. - Arturo Gil; Óscar Reinoso; Óscar Martínez Mozos; Cyrill Stachniss; Wolfram Burgard (IROS, 2006)

Exploration and mapping with mobile robots. - Cyrill Stachniss (2006)

Autonomous Exploration for 3D Map Learning. - Dominik Joho; Cyrill Stachniss; Patrick Pfaff; Wolfram Burgard (AMS, 2007)

Visual Bearing-Only Simultaneous Localization and Mapping with Improved Feature Matching. - Hauke Strasdat; Cyrill Stachniss; Maren Bennewitz; Wolfram Burgard (AMS, 2007)

Improved Simultaneous Localization and Mapping using a Dual Representation of the Environment. - Kai M. Wurm; Cyrill Stachniss; Giorgio Grisetti; Wolfram Burgard (EMCR, 2007)

Towards Mapping of Cities. - Patrick Pfaff; Rudolph Triebel; Cyrill Stachniss; Pierre Lamon; Wolfram Burgard; Roland Siegwart (ICRA, 2007)

Efficient estimation of accurate maximum likelihood maps in 3D. - Giorgio Grisetti; Slawomir Grzonka; Cyrill Stachniss; Patrick Pfaff; Wolfram Burgard (IROS, 2007)

Analyzing gaussian proposal distributions for mapping with rao-blackwellized particle filters. - Cyrill Stachniss; Giorgio Grisetti; Wolfram Burgard; Nicholas Roy (IROS, 2007)

Learning maps in 3D using attitude and noisy vision sensors. - Bastian Steder; Giorgio Grisetti; Slawomir Grzonka; Cyrill Stachniss; Axel Rottmann; Wolfram Burgard (IROS, 2007)

A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent. - Giorgio Grisetti; Cyrill Stachniss; Slawomir Grzonka; Wolfram Burgard (Robotics: Science and Systems, 2007)

Efficiently Learning Metric and Topological Maps with Autonomous Service Robots (Effizientes Lernen metrischer und topologischer Karten mit autonomen Servicerobotern). - Cyrill Stachniss; Giorgio Grisetti; Óscar Martínez Mozos; Wolfram Burgard (it Inf. Technol., 2007)

Fast and accurate SLAM with Rao-Blackwellized particle filters. - Giorgio Grisetti; Gian Diego Tipaldi; Cyrill Stachniss; Wolfram Burgard; Daniele Nardi (Robotics Auton. Syst., 2007)

Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters. - Giorgio Grisetti; Cyrill Stachniss; Wolfram Burgard (IEEE Trans. Robotics, 2007)

Efficient path planning for mobile robots in environments with deformable objects. - Barbara Frank; Markus Becker 003; Cyrill Stachniss; Wolfram Burgard; Matthias Teschner (ICRA, 2008)

Online constraint network optimization for efficient maximum likelihood map learning. - Giorgio Grisetti; Dario Lodi Rizzini; Cyrill Stachniss; Edwin Olson; Wolfram Burgard (ICRA, 2008)

Monocular range sensing: A non-parametric learning approach. - Christian Plagemann; Felix Endres; Jürgen Hess 001; Cyrill Stachniss; Wolfram Burgard (ICRA, 2008)

How to learn accurate grid maps with a humanoid. - Cyrill Stachniss; Maren Bennewitz; Giorgio Grisetti; Sven Behnke; Wolfram Burgard (ICRA, 2008)

Estimating landmark locations from geo-referenced photographs. - Henrik Kretzschmar; Cyrill Stachniss; Christian Plagemann; Wolfram Burgard (IROS, 2008)

Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures. - Patrick Pfaff; Cyrill Stachniss; Christian Plagemann; Wolfram Burgard (IROS, 2008)

Coordinated multi-robot exploration using a segmentation of the environment. - Kai M. Wurm; Cyrill Stachniss; Wolfram Burgard (IROS, 2008)

Gas Distribution Modeling using Sparse Gaussian Process Mixture Models. - Cyrill Stachniss; Christian Plagemann; Achim J. Lilienthal; Wolfram Burgard (Robotics: Science and Systems, 2008)

Efficient exploration of unknown indoor environments using a team of mobile robots. - Cyrill Stachniss; Óscar Martínez Mozos; Wolfram Burgard (Ann. Math. Artif. Intell., 2008)

Visual SLAM for Flying Vehicles. - Bastian Steder; Giorgio Grisetti; Cyrill Stachniss; Wolfram Burgard (IEEE Trans. Robotics, 2008)

Robotic Mapping and Exploration - Cyrill Stachniss (Springer, 2009)

Utilizing reflection properties of surfaces to improve mobile robot localization. - Maren Bennewitz; Cyrill Stachniss; Sven Behnke; Wolfram Burgard (ICRA, 2009)

Imitation learning with generalized task descriptions. - Clemens Eppner; Jürgen Sturm; Maren Bennewitz; Cyrill Stachniss; Wolfram Burgard (ICRA, 2009)

Real-world robot navigation amongst deformable obstacles. - Barbara Frank; Cyrill Stachniss; Ruediger Schmedding; Matthias Teschner; Wolfram Burgard (ICRA, 2009)

Which landmark is useful? Learning selection policies for navigation in unknown environments. - Hauke Strasdat; Cyrill Stachniss; Wolfram Burgard (ICRA, 2009)

Learning Kinematic Models for Articulated Objects. - Jürgen Sturm; Vijay Pradeep; Cyrill Stachniss; Christian Plagemann; Kurt Konolige; Wolfram Burgard (IJCAI, 2009)

A comparison of SLAM algorithms based on a graph of relations. - Wolfram Burgard; Cyrill Stachniss; Giorgio Grisetti; Bastian Steder; Rainer Kümmerle; Christian Dornhege; Michael Ruhnke; Alexander Kleiner; Juan D. Tardós (IROS, 2009)

Object identification with tactile sensors using bag-of-features. - Alexander Schneider; Jürgen Sturm; Cyrill Stachniss; Marco Reisert; Hans Burkhardt; Wolfram Burgard (IROS, 2009)

Improving robot navigation in structured outdoor environments by identifying vegetation from laser data. - Kai M. Wurm; Rainer Kümmerle; Cyrill Stachniss; Wolfram Burgard (IROS, 2009)

Learning Landmark Selection Policies for Mapping Unknown Environments. - Hauke Strasdat; Cyrill Stachniss; Wolfram Burgard (ISRR, 2009)

Unsupervised discovery of object classes from range data using latent Dirichlet allocation. - Felix Endres; Christian Plagemann; Cyrill Stachniss; Wolfram Burgard (Robotics: Science and Systems, 2009)

On measuring the accuracy of SLAM algorithms. - Rainer Kümmerle; Bastian Steder; Christian Dornhege; Michael Ruhnke; Giorgio Grisetti; Cyrill Stachniss; Alexander Kleiner (Auton. Robots, 2009)

Learning gas distribution models using sparse Gaussian process mixtures. - Cyrill Stachniss; Christian Plagemann; Achim J. Lilienthal (Auton. Robots, 2009)

Nonlinear Constraint Network Optimization for Efficient Map Learning. - Giorgio Grisetti; Cyrill Stachniss; Wolfram Burgard (IEEE Trans. Intell. Transp. Syst., 2009)

Hierarchical optimization on manifolds for online 2D and 3D mapping. - Giorgio Grisetti; Rainer Kümmerle; Cyrill Stachniss; Udo Frese; Christoph Hertzberg (ICRA, 2010)

Consistent mapping of multistory buildings by introducing global constraints to graph-based SLAM. - Michael Karg; Kai M. Wurm; Cyrill Stachniss; Klaus Dietmayer; Wolfram Burgard (ICRA, 2010)

Vision-based detection for learning articulation models of cabinet doors and drawers in household environments. - Jürgen Sturm; Kurt Konolige; Cyrill Stachniss; Wolfram Burgard (ICRA, 2010)

Learning the elasticity parameters of deformable objects with a manipulation robot. - Barbara Frank; Ruediger Schmedding; Cyrill Stachniss; Matthias Teschner; Wolfram Burgard (IROS, 2010)

Operating articulated objects based on experience. - Jürgen Sturm; Advait Jain; Cyrill Stachniss; Charles C. Kemp; Wolfram Burgard (IROS, 2010)

Coordinated exploration with marsupial teams of robots using temporal symbolic planning. - Kai M. Wurm; Christian Dornhege; Patrick Eyerich; Cyrill Stachniss; Bernhard Nebel; Wolfram Burgard (IROS, 2010)

A Tutorial on Graph-Based SLAM. - Giorgio Grisetti; Rainer Kümmerle; Cyrill Stachniss; Wolfram Burgard (IEEE Intell. Transp. Syst. Mag., 2010)

Editorial: Visual navigation and mapping outdoors. - Cyrill Stachniss; Stefan B. Williams; José Neira (J. Field Robotics, 2010)

Lifelong Map Learning for Graph-based SLAM in Static Environments. - Henrik Kretzschmar; Giorgio Grisetti; Cyrill Stachniss (Künstliche Intell., 2010)

A nonparametric learning approach to range sensing from omnidirectional vision. - Christian Plagemann; Cyrill Stachniss; Jürgen Hess 001; Felix Endres; Nathan Franklin (Robotics Auton. Syst., 2010)

Bridging the gap between feature- and grid-based SLAM. - Kai M. Wurm; Cyrill Stachniss; Giorgio Grisetti (Robotics Auton. Syst., 2010)

Using Gaussian Process Regression for Efficient Motion Planning in Environments with Deformable Objects. - Barbara Frank; Cyrill Stachniss; Nichola Abdo; Wolfram Burgard (Automated Action Planning for Autonomous Mobile Robots, 2011)

Simultaneous parameter calibration, localization, and mapping for robust service robotics. - Rainer Kümmerle; Giorgio Grisetti; Cyrill Stachniss; Wolfram Burgard (ARSO, 2011)

Self-supervised obstacle detection for humanoid navigation using monocular vision and sparse laser data. - Daniel Maier 001; Maren Bennewitz; Cyrill Stachniss (ICRA, 2011)

Efficient motion planning for manipulation robots in environments with deformable objects. - Barbara Frank; Cyrill Stachniss; Nichola Abdo; Wolfram Burgard (IROS, 2011)

Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders. - Henrik Kretzschmar; Cyrill Stachniss; Giorgio Grisetti (IROS, 2011)

Hierarchies of octrees for efficient 3D mapping. - Kai M. Wurm; Daniel Hennes; Dirk Holz; Radu Bogdan Rusu; Cyrill Stachniss; Kurt Konolige; Wolfram Burgard (IROS, 2011)

Accurate human motion capture in large areas by combining IMU- and laser-based people tracking. - Jakob Ziegler; Henrik Kretzschmar; Cyrill Stachniss; Giorgio Grisetti; Wolfram Burgard (IROS, 2011)

Pose Graph Compression for Laser-Based SLAM. - Cyrill Stachniss; Henrik Kretzschmar (ISRR, 2011)

A Probabilistic Framework for Learning Kinematic Models of Articulated Objects. - Jürgen Sturm; Cyrill Stachniss; Wolfram Burgard (J. Artif. Intell. Res., 2011)

On the position accuracy of mobile robot localization based on particle filters combined with scan matching. - Jorg Rowekamper; Christoph Sprunk; Gian Diego Tipaldi; Cyrill Stachniss; Patrick Pfaff; Wolfram Burgard (IROS, 2012)

Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction. - Dominik Joho; Gian Diego Tipaldi; Nikolas Engelhard; Cyrill Stachniss; Wolfram Burgard (Robotics: Science and Systems, 2012)

Information-theoretic compression of pose graphs for laser-based SLAM. - Henrik Kretzschmar; Cyrill Stachniss (Int. J. Robotics Res., 2012)

Efficient traversability analysis for mobile robots using the Kinect sensor. - Igor Bogoslavskyi; Olga Vysotska; Jacopo Serafin; Giorgio Grisetti; Cyrill Stachniss (ECMR, 2013)

Robotics: Probabilistic Methods for State Estimation and Control. - Wolfram Burgard; Cyrill Stachniss (GI-Jahrestagung, 2013)

Learning manipulation actions from a few demonstrations. - Nichola Abdo; Henrik Kretzschmar; Luciano Spinello; Cyrill Stachniss (ICRA, 2013)

Robust map optimization using dynamic covariance scaling. - Pratik Agarwal; Gian Diego Tipaldi; Luciano Spinello; Cyrill Stachniss; Wolfram Burgard (ICRA, 2013)

A navigation system for robots operating in crowded urban environments. - Rainer Kümmerle; Michael Ruhnke; Bastian Steder; Cyrill Stachniss; Wolfram Burgard (ICRA, 2013)

Exploration and mapping of catacombs with mobile robots. - Vittorio A. Ziparo; Marco Zaratti; Giorgio Grisetti; Taigo Maria Bonanni; Jacopo Serafin; Maurilio Di Cicco; Marc Proesmans; Luc Van Gool; Olga Vysotska; Igor Bogoslavskyi; Cyrill Stachniss (SSRR, 2013)

OctoMap: an efficient probabilistic 3D mapping framework based on octrees. - Armin Hornung; Kai M. Wurm; Maren Bennewitz; Cyrill Stachniss; Wolfram Burgard (Auton. Robots, 2013)

Coordinating heterogeneous teams of robots using temporal symbolic planning. - Kai M. Wurm; Christian Dornhege; Bernhard Nebel; Wolfram Burgard; Cyrill Stachniss (Auton. Robots, 2013)

Vision-Based humanoid Navigation using Self-Supervised Obstacle Detection. - Daniel Maier 001; Cyrill Stachniss; Maren Bennewitz (Int. J. Humanoid Robotics, 2013)

Robust Visual Robot Localization Across Seasons Using Network Flows. - Tayyab Naseer; Luciano Spinello; Wolfram Burgard; Cyrill Stachniss (AAAI, 2014)

Inferring what to imitate in manipulation actions by using a recommender system. - Nichola Abdo; Luciano Spinello; Wolfram Burgard; Cyrill Stachniss (ICRA, 2014)

Helmert's and Bowie's geodetic mapping methods and their relation to graph-based SLAM. - Pratik Agarwal; Wolfram Burgard; Cyrill Stachniss (ICRA, 2014)

Experimental analysis of dynamic covariance scaling for robust map optimization under bad initial estimates. - Pratik Agarwal; Giorgio Grisetti; Gian Diego Tipaldi; Luciano Spinello; Wolfram Burgard; Cyrill Stachniss (ICRA, 2014)

W-RGB-D: Floor-plan-based indoor global localization using a depth camera and WiFi. - Seigo Ito; Felix Endres; Markus Kuderer; Gian Diego Tipaldi; Cyrill Stachniss; Wolfram Burgard (ICRA, 2014)

A statistical measure for map consistency in SLAM. - Mladen Mazuran; Gian Diego Tipaldi; Luciano Spinello; Wolfram Burgard; Cyrill Stachniss (ICRA, 2014)

Learning to give route directions from human demonstrations. - Stefan Oßwald; Henrik Kretzschmar; Wolfram Burgard; Cyrill Stachniss (ICRA, 2014)

Effective compression of range data streams for remote robot operations using H.264. - Fabrizio Nenci; Luciano Spinello; Cyrill Stachniss (IROS, 2014)

Automatic channel selection and neural signal estimation across channels of neural probes. - Olga Vysotska; Barbara Frank; István Ulbert; Oliver Paul; Patrick Ruther; Cyrill Stachniss; Wolfram Burgard (IROS, 2014)

Particle Filters for Robot Navigation. - Cyrill Stachniss; Wolfram Burgard (Found. Trends Robotics, 2014)

Survey of Geodetic Mapping Methods: Geodetic Approaches to Mapping and the Relationship to Graph-Based SLAM. - Pratik Agarwal; Wolfram Burgard; Cyrill Stachniss (IEEE Robotics Autom. Mag., 2014)

Learning object deformation models for robot motion planning. - Barbara Frank; Cyrill Stachniss; Rüdiger Schmedding; Matthias Teschner; Wolfram Burgard (Robotics Auton. Syst., 2014)

Identifying vegetation from laser data in structured outdoor environments. - Kai M. Wurm; Henrik Kretzschmar; Rainer Kümmerle; Cyrill Stachniss; Wolfram Burgard (Robotics Auton. Syst., 2014)

A new approach to digitalization and data management of cultural heritage sites. - Vittorio Amos Ziparo; Fabio Cottefoglie; Daniele Calisi; Francesca Giannone; Giorgio Grisetti; Bastian Leibe; Marc Proesmans; Paolo Salonia; Luc Van Gool; Claudia Ventura; Cyrill Stachniss (DigitalHERITAGE (1), 2015)

Robot, organize my shelves! Tidying up objects by predicting user preferences. - Nichola Abdo; Cyrill Stachniss; Luciano Spinello; Wolfram Burgard (ICRA, 2015)

Where to park? minimizing the expected time to find a parking space. - Igor Bogoslavskyi; Luciano Spinello; Wolfram Burgard; Cyrill Stachniss (ICRA, 2015)

Predictive exploration considering previously mapped environments. - Daniel Perea Strom; Fabrizio Nenci; Cyrill Stachniss (ICRA, 2015)

Efficient and effective matching of image sequences under substantial appearance changes exploiting GPS priors. - Olga Vysotska; Tayyab Naseer; Luciano Spinello; Wolfram Burgard; Cyrill Stachniss (ICRA, 2015)

Robust visual SLAM across seasons. - Tayyab Naseer; Michael Ruhnke; Cyrill Stachniss; Luciano Spinello; Wolfram Burgard (IROS, 2015)

Collaborative Filtering for Predicting User Preferences for Organizing Objects. - Nichola Abdo; Cyrill Stachniss; Luciano Spinello; Wolfram Burgard (CoRR, 2015)

Autonomous Robot Navigation in Highly Populated Pedestrian Zones. - Rainer Kümmerle; Michael Ruhnke; Bastian Steder; Cyrill Stachniss; Wolfram Burgard (J. Field Robotics, 2015)

Robust homing for autonomous robots. - Igor Bogoslavskyi; Mladen Mazuran; Cyrill Stachniss (ICRA, 2016)

An effective classification system for separating sugar beets and weeds for precision farming applications. - Philipp Lottes; Markus Hoeferlin; Slawomir Sander; Matthias Muter; Peter Schulze Lammers; Cyrill Stachniss (ICRA, 2016)

Fast and effective online pose estimation and mapping for UAVs. - Johannes Schneider 001; Christian Eling; Lasse Klingbeil; Heiner Kuhlmann; Wolfgang Förstner; Cyrill Stachniss (ICRA, 2016)

Fast range image-based segmentation of sparse 3D laser scans for online operation. - Igor Bogoslavskyi; Cyrill Stachniss (IROS, 2016)

Pose fusion with chain pose graphs for automated driving. - Christian Merfels; Cyrill Stachniss (IROS, 2016)

Experience-based path planning for mobile robots exploiting user preferences. - Lorenzo Nardi; Cyrill Stachniss (IROS, 2016)

Exploiting building information from publicly available maps in graph-based SLAM. - Olga Vysotska; Cyrill Stachniss (IROS, 2016)

Organizing objects by predicting user preferences through collaborative filtering. - Nichola Abdo; Cyrill Stachniss; Luciano Spinello; Wolfram Burgard (Int. J. Robotics Res., 2016)

Speeding-Up Robot Exploration by Exploiting Background Information. - Stefan Oßwald; Maren Bennewitz; Wolfram Burgard; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2016)

On the Accuracy of Dense Fisheye Stereo. - Johannes Schneider 001; Cyrill Stachniss; Wolfgang Förstner (IEEE Robotics Autom. Lett., 2016)

Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes. - Olga Vysotska; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2016)

Simultaneous Localization and Mapping. - Cyrill Stachniss; John J. Leonard; Sebastian Thrun (Springer Handbook of Robotics, 2nd Ed., 2016)

UAV-based crop and weed classification for smart farming. - Philipp Lottes; Raghav Khanna; Johannes Pfeifer; Roland Siegwart; Cyrill Stachniss (ICRA, 2017)

Analyzing the quality of matched 3D point clouds of objects. - Igor Bogoslavskyi; Cyrill Stachniss (IROS, 2017)

Extrinsic multi-sensor calibration for mobile robots using the Gauss-Helmert model. - Kaihong Huang; Cyrill Stachniss (IROS, 2017)

Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement. - Philipp Lottes; Cyrill Stachniss (IROS, 2017)

Efficient path planning in belief space for safe navigation. - Robert Schirmer; Peter Biber; Cyrill Stachniss (IROS, 2017)

Automatic Room Segmentation of 3D Laser Data Using Morphological Processing. - Jaehoon Jung; Cyrill Stachniss; Changjae Kim (ISPRS Int. J. Geo Inf., 2017)

Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields. - Nived Chebrolu; Philipp Lottes; Alexander Schaefer; Wera Winterhalter; Wolfram Burgard; Cyrill Stachniss (Int. J. Robotics Res., 2017)

Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming. - Philipp Lottes; Markus Höferlin; Slawomir Sander; Cyrill Stachniss (J. Field Robotics, 2017)

User preferred behaviors for robot navigation exploiting previous experiences. - Lorenzo Nardi; Cyrill Stachniss (Robotics Auton. Syst., 2017)

Robust exploration and homing for autonomous robots. - Daniel Perea Strom; Igor Bogoslavskyi; Cyrill Stachniss (Robotics Auton. Syst., 2017)

Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation. - Peter Regier; Andres Milioto; Philipp Karkowski; Cyrill Stachniss; Maren Bennewitz (Humanoids, 2018)

A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration. - Bartolomeo Della Corte; Igor Bogoslavskyi; Cyrill Stachniss; Giorgio Grisetti (ICRA, 2018)

On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration. - Kaihong Huang; Cyrill Stachniss (ICRA, 2018)

Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. - Andres Milioto; Philipp Lottes; Cyrill Stachniss (ICRA, 2018)

Fast Image-Based Geometric Change Detection Given a 3D Model. - Emanuele Palazzolo; Cyrill Stachniss (ICRA, 2018)

Joint Ego-motion Estimation Using a Laser Scanner and a Monocular Camera Through Relative Orientation Estimation and 1-DoF ICP. - Kaihong Huang; Cyrill Stachniss (IROS, 2018)

Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming. - Philipp Lottes; Jens Behley; Nived Chebrolu; Andres Milioto; Cyrill Stachniss (IROS, 2018)

Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments. - Jens Behley; Cyrill Stachniss (Robotics: Science and Systems, 2018)

Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM. - Jaehoon Jung; Cyrill Stachniss; Sungha Ju; Joon Heo (Adv. Eng. Informatics, 2018)

WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. - Inkyu Sa; Marija Popovic; Raghav Khanna; Zetao Chen; Philipp Lottes; Frank Liebisch; Juan I. Nieto 001; Cyrill Stachniss; Roland Siegwart (CoRR, 2018)

Geometrical Stem Detection from Image Data for Precision Agriculture. - Ferdinand Langer; Leonard P. Mandtler; Andres Milioto; Emanuele Palazzolo; Cyrill Stachniss (CoRR, 2018)

Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture. - Nived Chebrolu; Thomas Läbe; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2018)

Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming. - Philipp Lottes; Jens Behley; Andres Milioto; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2018)

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming. - Inkyu Sa; Marija Popovic; Raghav Khanna; Zetao Chen; Philipp Lottes; Frank Liebisch; Juan I. Nieto 001; Cyrill Stachniss; Achim Walter; Roland Siegwart (Remote. Sens., 2018)

Robust Visual Localization Across Seasons. - Tayyab Naseer; Wolfram Burgard; Cyrill Stachniss (IEEE Trans. Robotics, 2018)

Global Localization on OpenStreetMap Using 4-bit Semantic Descriptors. - Fan Yan; Olga Vysotska; Cyrill Stachniss (ECMR, 2019)

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. - Jens Behley; Martin Garbade; Andres Milioto; Jan Quenzel; Sven Behnke; Cyrill Stachniss; Jürgen Gall (ICCV, 2019)

Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields. - Nived Chebrolu; Philipp Lottes; Thomas Läbe; Cyrill Stachniss (ICRA, 2019)

Accurate Direct Visual-Laser Odometry with Explicit Occlusion Handling and Plane Detection. - Kaihong Huang; Junhao Xiao 001; Cyrill Stachniss (ICRA, 2019)

Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics. - Andres Milioto; Leonard P. Mandtler; Cyrill Stachniss (ICRA, 2019)

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. - Andres Milioto; Cyrill Stachniss (ICRA, 2019)

Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models. - Lorenzo Nardi; Cyrill Stachniss (ICRA, 2019)

Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs. - Lorenzo Nardi; Cyrill Stachniss (ICRA, 2019)

Coverage Path Planning in Belief Space. - Robert Schirmer; Peter Biber; Cyrill Stachniss (ICRA, 2019)

Localization with Sliding Window Factor Graphs on Third-Party Maps for Automated Driving. - Daniel Wilbers; Christian Merfels; Cyrill Stachniss (ICRA, 2019)

A Comparison of Particle Filter and Graph-Based Optimization for Localization with Landmarks in Automated Vehicles. - Daniel Wilbers; Christian Merfels; Cyrill Stachniss (IRC, 2019)

Approximating Marginalization with Sparse Global Priors for Sliding Window SLAM-Graphs. - Daniel Wilbers; Lars Rumberg; Cyrill Stachniss (IRC, 2019)

SuMa++: Efficient LiDAR-based Semantic SLAM. - Xieyuanli Chen; Andres Milioto; Emanuele Palazzolo; Philippe Giguère; Jens Behley; Cyrill Stachniss (IROS, 2019)

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation. - Andres Milioto; Ignacio Vizzo; Jens Behley; Cyrill Stachniss (IROS, 2019)

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. - Emanuele Palazzolo; Jens Behley; Philipp Lottes; Philippe Giguère; Cyrill Stachniss (IROS, 2019)

A Dataset for Semantic Segmentation of Point Cloud Sequences. - Jens Behley; Martin Garbade; Andres Milioto; Jan Quenzel; Sven Behnke; Cyrill Stachniss; Juergen Gall (CoRR, 2019)

Building an Aerial-Ground Robotics System for Precision Farming. - Alberto Pretto; Stéphanie Aravecchia; Wolfram Burgard; Nived Chebrolu; Christian Dornhege; Tillmann Falck; Freya Fleckenstein; Alessandra Fontenla; Marco Imperoli; Raghav Khanna; Frank Liebisch; Philipp Lottes; et al. (CoRR, 2019)

Effective Visual Place Recognition Using Multi-Sequence Maps. - Olga Vysotska; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2019)

Visual Servoing-based Navigation for Monitoring Row-Crop Fields. - Alireza Ahmadi; Lorenzo Nardi; Nived Chebrolu; Cyrill Stachniss (ICRA, 2020)

Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants. - Nived Chebrolu; Thomas Läbe; Cyrill Stachniss (ICRA, 2020)

Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes. - Lorenzo Nardi; Cyrill Stachniss (ICRA, 2020)

Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching. - Jan Quenzel; Radu Alexandru Rosu; Thomas Läbe; Cyrill Stachniss; Sven Behnke (ICRA, 2020)

Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. - Rasha Sheikh; Andres Milioto; Philipp Lottes; Cyrill Stachniss; Maren Bennewitz; Thomas Schultz 001 (ICRA, 2020)

Learning an Overlap-based Observation Model for 3D LiDAR Localization. - Xieyuanli Chen; Thomas Läbe; Lorenzo Nardi; Jens Behley; Cyrill Stachniss (IROS, 2020)

Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots. - Dario Gogoll; Philipp Lottes; Jan Weyler; Nik Petrinic; Cyrill Stachniss (IROS, 2020)

Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks. - Ferdinand Langer; Andres Milioto; Alexandre Haag; Jens Behley; Cyrill Stachniss (IROS, 2020)

Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping. - Federico Magistri; Nived Chebrolu; Cyrill Stachniss (IROS, 2020)

LiDAR Panoptic Segmentation for Autonomous Driving. - Andres Milioto; Jens Behley; Chris McCool; Cyrill Stachniss (IROS, 2020)

OverlapNet: Loop Closing for LiDAR-based SLAM. - Xieyuanli Chen; Thomas Läbe; Andres Milioto; Timo Röhling; Olga Vysotska; Alexandre Haag; Jens Behley; Cyrill Stachniss (Robotics: Science and Systems, 2020)

Classifying Obstacles and Exploiting Class Information for Humanoid Navigation Through Cluttered Environments. - Peter Regier; Andres Milioto; Cyrill Stachniss; Maren Bennewitz (Int. J. Humanoid Robotics, 2020)

Special issue on agricultural robotics. - Chris Lehnert; Chris McCool; Peter Corke; Inkyu Sa; Cyrill Stachniss; Eldert J. van Henten; Juan I. Nieto 001 (J. Field Robotics, 2020)

JFR special issue on agricultural robotics, part 2. - Chris Lehnert; Chris McCool; Cyrill Stachniss; Peter Corke; Inkyu Sa; Juan I. Nieto 001; Eldert J. van Henten (J. Field Robotics, 2020)

Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming. - Philipp Lottes; Jens Behley; Nived Chebrolu; Andres Milioto; Cyrill Stachniss (J. Field Robotics, 2020)

Robotic weed control using automated weed and crop classification. - Xiaolong Wu; Stéphanie Aravecchia; Philipp Lottes; Cyrill Stachniss; Cédric Pradalier (J. Field Robotics, 2020)

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. - Benedikt Mersch; Xieyuanli Chen; Jens Behley; Cyrill Stachniss (CoRL, 2021)

4D Panoptic LiDAR Segmentation. - Mehmet Aygun; Aljosa Osep; Mark Weber; Maxim Maximov; Cyrill Stachniss; Jens Behley; Laura Leal-Taixé (CVPR, 2021)

Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain. - Carlos Carbone; Dario Albani; Federico Magistri; Dimitri Ognibene; Cyrill Stachniss; Gert Kootstra; Daniele Nardi; Vito Trianni (DARS, 2021)

Mapping the Static Parts of Dynamic Scenes from 3D LiDAR Point Clouds Exploiting Ground Segmentation. - Mehul Arora; Louis Wiesmann; Xieyuanli Chen; Cyrill Stachniss (ECMR, 2021)

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments. - Hao Dong 011; Xieyuanli Chen; Cyrill Stachniss (ECMR, 2021)

Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation. - Felix Stache; Jonas Westheider; Federico Magistri; Marija Popovic; Cyrill Stachniss (ECMR, 2021)

Video Contrastive Learning with Global Context. - Haofei Kuang; Yi Zhu 001; Zhi Zhang 005; Xinyu Li 003; Joseph Tighe; Sören Schwertfeger; Cyrill Stachniss; Mu Li 003 (ICCVW, 2021)

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. - Jens Behley; Andres Milioto; Cyrill Stachniss (ICRA, 2021)

Range Image-based LiDAR Localization for Autonomous Vehicles. - Xieyuanli Chen; Ignacio Vizzo; Thomas Läbe; Jens Behley; Cyrill Stachniss (ICRA, 2021)

Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss. - Federico Magistri; Nived Chebrolu; Jens Behley; Cyrill Stachniss (ICRA, 2021)

Simple But Effective Redundant Odometry for Autonomous Vehicles. - Andrzej Reinke; Xieyuanli Chen; Cyrill Stachniss (ICRA, 2021)

Poisson Surface Reconstruction for LiDAR Odometry and Mapping. - Ignacio Vizzo; Xieyuanli Chen; Nived Chebrolu; Jens Behley; Cyrill Stachniss (ICRA, 2021)

Visual Place Recognition using LiDAR Intensity Information. - Luca Di Giammarino; Irvin Aloise; Cyrill Stachniss; Giorgio Grisetti (IROS, 2021)

Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. - Benedikt Mersch; Thomas Höllen; Kun Zhao; Cyrill Stachniss; Ribana Roscher (IROS, 2021)

Improving Monocular Depth Estimation by Semantic Pre-training. - Peter Rottmann; Thorbjörn Posewsky; Andres Milioto; Cyrill Stachniss; Jens Behley (IROS, 2021)

Efficient Localisation Using Images and OpenStreetMaps. - Mengjie Zhou; Xieyuanli Chen; Noe Samano; Cyrill Stachniss; Andrew Calway (IROS, 2021)

Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. - Lasse Peters; David Fridovich-Keil; Vicenc Rubies-Royo; Claire J. Tomlin; Cyrill Stachniss (Robotics: Science and Systems, 2021)

Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry. - Abel Barreto; Philipp Lottes; Facundo Ramón Ispizua Yamati; Stephen Baumgarten; Nina Anastasia Wolf; Cyrill Stachniss; Anne-Katrin Mahlein; Stefan Paulus (Comput. Electron. Agric., 2021)

Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset. - Jens Behley; Martin Garbade; Andres Milioto; Jan Quenzel; Sven Behnke; Jürgen Gall; Cyrill Stachniss (Int. J. Robotics Res., 2021)

Adaptive Robust Kernels for Non-Linear Least Squares Problems. - Nived Chebrolu; Thomas Läbe; Olga Vysotska; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2021)

Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data. - Xieyuanli Chen; Shijie Li 006; Benedikt Mersch; Louis Wiesmann; Jürgen Gall; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2021)

Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks. - Chenghao Shi; Xieyuanli Chen; Kaihong Huang; Junhao Xiao 001; Huimin Lu 002; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2021)

Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping. - Jan Weyler; Andres Milioto; Tillmann Falck; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2021)

Deep Compression for Dense Point Cloud Maps. - Louis Wiesmann; Andres Milioto; Xieyuanli Chen; Cyrill Stachniss; Jens Behley (IEEE Robotics Autom. Lett., 2021)

Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. - Alberto Pretto; Stéphanie Aravecchia; Wolfram Burgard; Nived Chebrolu; Christian Dornhege; Tillmann Falck; Freya Veronika Fleckenstein; Alessandra Fontenla; Marco Imperoli; Raghav Khanna; Frank Liebisch; Philipp Lottes; et al. (IEEE Robotics Autom. Mag., 2021)

Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching. - Elias Marks; Federico Magistri; Cyrill Stachniss (ICRA, 2022)

Retriever: Point Cloud Retrieval in Compressed 3D Maps. - Louis Wiesmann; Rodrigo Marcuzzi; Cyrill Stachniss; Jens Behley (ICRA, 2022)

MD-SLAM: Multi-cue Direct SLAM. - Luca Di Giammarino; Leonardo Brizi; Tiziano Guadagnino; Cyrill Stachniss; Giorgio Grisetti (IROS, 2022)

Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction. - Yue Pan; Yves Kompis; Luca Bartolomei 002; Ruben Mascaro; Cyrill Stachniss; Margarita Chli (IROS, 2022)

Informative Path Planning for Active Learning in Aerial Semantic Mapping. - Julius Rückin; Liren Jin; Federico Magistri; Cyrill Stachniss; Marija Popovic (IROS, 2022)

ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation. - Jingtao Sun; Yaonan Wang 001; Mingtao Feng; Danwei Wang; Jiawen Zhao; Cyrill Stachniss; Xieyuanli Chen (IROS, 2022)

Robust Onboard Localization in Changing Environments Exploiting Text Spotting. - Nicky Zimmerman; Louis Wiesmann; Tiziano Guadagnino; Thomas Läbe; Jens Behley; Cyrill Stachniss (IROS, 2022)

Learning Mixed Strategies in Trajectory Games. - Lasse Peters; David Fridovich-Keil; Laura Ferranti; Cyrill Stachniss; Javier Alonso-Mora; Forrest Laine (Robotics: Science and Systems, 2022)

In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation. - Jan Weyler; Federico Magistri; Peter Seitz 004; Jens Behley; Cyrill Stachniss (WACV, 2022)

OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization. - Xieyuanli Chen; Thomas Läbe; Andres Milioto; Timo Röhling; Jens Behley; Cyrill Stachniss (Auton. Robots, 2022)

OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition. - Junyi Ma; Jun Zhang 051; Jintao Xu 001; Rui Ai 001; Weihao Gu; Cyrill Stachniss; Xieyuanli Chen (CoRR, 2022)

Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation. - Yash Goel; Narunas Vaskevicius; Luigi Palmieri; Nived Chebrolu; Cyrill Stachniss (CoRR, 2022)

Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation. - Xieyuanli Chen; Benedikt Mersch; Lucas Nunes; Rodrigo Marcuzzi; Ignacio Vizzo; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images. - Tiziano Guadagnino; Xieyuanli Chen; Matteo Sodano; Jens Behley; Giorgio Grisetti; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. - Shijie Li 006; Xieyuanli Chen; Yun Liu 011; Dengxin Dai; Cyrill Stachniss; Juergen Gall (IEEE Robotics Autom. Lett., 2022)

Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. - Federico Magistri; Elias Marks; Sumanth Nagulavancha; Ignacio Vizzo; Thomas Läbe; Jens Behley; Michael Halstead; Chris McCool; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans. - Rodrigo Marcuzzi; Lucas Nunes; Louis Wiesmann; Ignacio Vizzo; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. - Benedikt Mersch; Xieyuanli Chen; Ignacio Vizzo; Lucas Nunes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles. - Lucas Nunes; Xieyuanli Chen; Rodrigo Marcuzzi; Aljosa Osep; Laura Leal-Taixé; Cyrill Stachniss; Jens Behley (IEEE Robotics Autom. Lett., 2022)

SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination. - Lucas Nunes; Rodrigo Marcuzzi; Xieyuanli Chen; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments. - Ignacio Vizzo; Benedikt Mersch; Rodrigo Marcuzzi; Louis Wiesmann; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery. - Jan Weyler; Jan Quakernack; Philipp Lottes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments. - Louis Wiesmann; Tiziano Guadagnino; Ignacio Vizzo; Giorgio Grisetti; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data. - Ignacio Vizzo; Tiziano Guadagnino; Jens Behley; Cyrill Stachniss (Sensors, 2022)

Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving. - Lucas Nunes; Louis Wiesmann; Rodrigo Marcuzzi; Xieyuanli Chen; Jens Behley; Cyrill Stachniss (CVPR, 2023)

Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs. - Hanna Müller; Nicky Zimmerman; Tommaso Polonelli; Michele Magno; Jens Behley; Cyrill Stachniss; Luca Benini (DATE, 2023)

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors. - Hao Dong 011; Xieyuanli Chen; Mihai Dusmanu; Viktor Larsson; Marc Pollefeys; Cyrill Stachniss (ICRA, 2023)

Target-Aware Implicit Mapping for Agricultural Crop Inspection. - Shane Kelly; Alessandro Riccardi; Elias Marks; Federico Magistri; Tiziano Guadagnino; Margarita Chli; Cyrill Stachniss (ICRA, 2023)

Fruit Tracking Over Time Using High-Precision Point Clouds. - Alessandro Riccardi; Shane Kelly; Elias Marks; Federico Magistri; Tiziano Guadagnino; Jens Behley; Maren Bennewitz; Cyrill Stachniss (ICRA, 2023)

On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics. - Gianmarco Roggiolani; Federico Magistri; Tiziano Guadagnino; Jan Weyler; Giorgio Grisetti; Cyrill Stachniss; Jens Behley (ICRA, 2023)

Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain. - Gianmarco Roggiolani; Matteo Sodano; Tiziano Guadagnino; Federico Magistri; Jens Behley; Cyrill Stachniss (ICRA, 2023)

Robust Double-Encoder Network for RGB-D Panoptic Segmentation. - Matteo Sodano; Federico Magistri; Tiziano Guadagnino; Jens Behley; Cyrill Stachniss (ICRA, 2023)

Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds. - Matthias Zeller; Vardeep S. Sandhu; Benedikt Mersch; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss (ICRA, 2023)

SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations. - Xingguang Zhong; Yue Pan; Jens Behley; Cyrill Stachniss (ICRA, 2023)

Semantically Informed MPC for Context-Aware Robot Exploration. - Yash Goel; Narunas Vaskevicius; Luigi Palmieri; Nived Chebrolu; Kai O. Arras; Cyrill Stachniss (IROS, 2023)

Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots. - Luca Lobefaro; Meher V. R. Malladi; Olga Vysotska; Tiziano Guadagnino; Cyrill Stachniss (IROS, 2023)

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. - Yue Pan; Federico Magistri; Thomas Läbe; Elias Marks; Claus Smitt; Chris McCool; Jens Behley; Cyrill Stachniss (IROS, 2023)

Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization. - Nicky Zimmerman; Matteo Sodano; Elias Marks; Jens Behley; Cyrill Stachniss (IROS, 2023)

Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition. - Ignacio Vizzo; Benedikt Mersch; Lucas Nunes; Louis Wiesmann; Tiziano Guadagnino; Cyrill Stachniss (ITSC, 2023)

ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes. - Hyungtae Lim; Lucas Nunes; Benedikt Mersch; Xieyuanli Chen; Jens Behley; Hyun Myung; Cyrill Stachniss (Robotics: Science and Systems, 2023)

Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations. - Lasse Peters; Vicenc Rubies-Royo; Claire J. Tomlin; Laura Ferranti; Javier Alonso-Mora; Cyrill Stachniss; David Fridovich-Keil (CoRR, 2023)

A Survey on Global LiDAR Localization. - Huan Yin; Xuecheng Xu; Sha Lu; Xieyuanli Chen; Rong Xiong; Shaojie Shen; Cyrill Stachniss; Yue Wang 020 (CoRR, 2023)

Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior. - Nicky Zimmerman; Matteo Sodano; Elias Marks; Jens Behley; Cyrill Stachniss (CoRR, 2023)

Data-Centric Digital Agriculture: A Perspective. - Ribana Roscher; Lukas Roth; Cyrill Stachniss; Achim Walter (CoRR, 2023)

BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions. - Elias Marks; Jonas Bömer; Federico Magistri; Anurag Sag; Jens Behley; Cyrill Stachniss (CoRR, 2023)

Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms. - Yue Linn Chong; Jan Weyler; Philipp Lottes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving. - Rodrigo Marcuzzi; Lucas Nunes; Louis Wiesmann; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions. - Elias Marks; Matteo Sodano; Federico Magistri; Louis Wiesmann; Dhagash Desai; Rodrigo Marcuzzi; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation. - Benedikt Mersch; Tiziano Guadagnino; Xieyuanli Chen; Ignacio Vizzo; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way. - Ignacio Vizzo; Tiziano Guadagnino; Benedikt Mersch; Louis Wiesmann; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

LocNDF: Neural Distance Field Mapping for Robot Localization. - Louis Wiesmann; Tiziano Guadagnino; Ignacio Vizzo; Nicky Zimmerman; Yue Pan; Haofei Kuang; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition. - Louis Wiesmann; Lucas Nunes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. - Matthias Zeller; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Long-Term Localization Using Semantic Cues in Floor Plan Maps. - Nicky Zimmerman; Tiziano Guadagnino; Xieyuanli Chen; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Static map generation from 3D LiDAR point clouds exploiting ground segmentation. - Mehul Arora; Louis Wiesmann; Xieyuanli Chen; Cyrill Stachniss (Robotics Auton. Syst., 2023)

Online pole segmentation on range images for long-term LiDAR localization in urban environments. - Hao Dong 011; Xieyuanli Chen; Simo Särkkä; Cyrill Stachniss (Robotics Auton. Syst., 2023)

Adaptive path planning for UAVs for multi-resolution semantic segmentation. - Felix Stache; Jonas Westheider; Federico Magistri; Cyrill Stachniss; Marija Popovic (Robotics Auton. Syst., 2023)

IR-MCL: Implicit Representation-Based Online Global Localization. - Haofei Kuang; Xieyuanli Chen; Tiziano Guadagnino; Nicky Zimmerman; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots. - Jan Weyler; Thomas Läbe; Federico Magistri; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics. - Federico Magistri; Jan Weyler; Dario Gogoll; Philipp Lottes; Jens Behley; Nik Petrinic; Cyrill Stachniss (Comput. Electron. Agric., 2023)

Online and offline learning of player objectives from partial observations in dynamic games. - Lasse Peters; Vicenc Rubies-Royo; Claire J. Tomlin; Laura Ferranti; Javier Alonso-Mora; Cyrill Stachniss; David Fridovich-Keil (Int. J. Robotics Res., 2023)

Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences. - Rodrigo Marcuzzi; Lucas Nunes; Louis Wiesmann; Elias Marks; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Unsupervised Pre-Training for 3D Leaf Instance Segmentation. - Gianmarco Roggiolani; Federico Magistri; Tiziano Guadagnino; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

Localization Exploiting Semantic and Metric Information in Non-static Indoor Environments. - Clara Gómez; Alejandra C. Hernández; Ramón Barber; Cyrill Stachniss (J. Intell. Robotic Syst., 2023)

Interview: Cyrill Stachniss' View on AI in Agriculture. - Joachim Hertzberg; Benjamin Kisliuk; Jan Christoph Krause; Cyrill Stachniss (Künstliche Intell., 2023)

An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping. - Julius Rückin; Federico Magistri; Cyrill Stachniss; Marija Popovic (IEEE Trans. Robotics, 2023)

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. - Lucas Nunes; Rodrigo Marcuzzi; Benedikt Mersch; Jens Behley; Cyrill Stachniss (CVPR, 2024)

Open-World Semantic Segmentation Including Class Similarity. - Matteo Sodano; Federico Magistri; Lucas Nunes; Jens Behley; Cyrill Stachniss (CVPR, 2024)

3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation. - Xingguang Zhong; Yue Pan; Cyrill Stachniss; Jens Behley (CVPR, 2024)

Effectively Detecting Loop Closures using Point Cloud Density Maps. - Saurabh Gupta; Tiziano Guadagnino; Benedikt Mersch; Ignacio Vizzo; Cyrill Stachniss (ICRA, 2024)

Radar-Only Odometry and Mapping for Autonomous Vehicles. - Daniel Casado Herraez; Matthias Zeller; Le Chang; Ignacio Vizzo; Michael Heidingsfeld; Cyrill Stachniss (ICRA, 2024)

Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots. - Federico Magistri; Rodrigo Marcuzzi; Elias Marks; Matteo Sodano; Jens Behley; Cyrill Stachniss (ICRA, 2024)

Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots. - Meher V. R. Malladi; Tiziano Guadagnino; Luca Lobefaro; Matías Mattamala; Holger Griess; Janine Schweier; Nived Chebrolu; Maurice F. Fallon; Jens Behley; Cyrill Stachniss (ICRA, 2024)

LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters. - Yibin Wu; Tiziano Guadagnino; Louis Wiesmann; Lasse Klingbeil; Cyrill Stachniss; Heiner Kuhlmann (ICRA, 2024)

Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds. - Matthias Zeller; Daniel Casado Herraez; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss (ICRA, 2024)

STAIR: Semantic-Targeted Active Implicit Reconstruction. - Liren Jin; Haofei Kuang; Yue Pan; Cyrill Stachniss; Marija Popovic (IROS, 2024)

HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors. - Hyungtae Lim; Seoyeon Jang; Benedikt Mersch; Jens Behley; Hyun Myung; Cyrill Stachniss (IROS, 2024)

Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild. - Luca Lobefaro; Meher V. R. Malladi; Tiziano Guadagnino; Cyrill Stachniss (IROS, 2024)

BonnBeetClouds3D: A Dataset Towards Point Cloud-Based Organ-Level Phenotyping of Sugar Beet Plants Under Real Field Conditions. - Elias Marks; Jonas Bömer; Federico Magistri; Anurag Sag; Jens Behley; Cyrill Stachniss (IROS, 2024)

Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation. - Balázs Opra; Betty Le Dem; Jeffrey M. Walls; Dimitar Lukarski; Cyrill Stachniss (IROS, 2024)

Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning. - Sicong Pan; Liren Jin; Xuying Huang; Cyrill Stachniss; Marija Popovic; Maren Bennewitz (IROS, 2024)

Fast Global Point Cloud Registration using Semantic NDT. - Robert Schirmer; Narunas Vaskevicius; Peter Biber; Cyrill Stachniss (IROS, 2024)

A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics. - Federico Magistri; Thomas Läbe; Elias Marks; Sumanth Nagulavancha; Yue Pan; Claus Smitt; Lasse Klingbeil; Michael Halstead; Heiner Kuhlmann; Chris McCool; Jens Behley; Cyrill Stachniss (CoRR, 2024)

Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces. - Tiziano Guadagnino; Benedikt Mersch; Ignacio Vizzo; Saurabh Gupta; Meher V. R. Malladi; Luca Lobefaro; Guillaume Doisy; Cyrill Stachniss (CoRR, 2024)

Active Learning of Robot Vision Using Adaptive Path Planning. - Julius Rückin; Federico Magistri; Cyrill Stachniss; Marija Popovic (CoRR, 2024)

AdaCropFollow: Self-Supervised Online Adaptation for Visual Under-Canopy Navigation. - Arun Narenthiran Sivakumar; Federico Magistri; Mateus Valverde Gasparino; Jens Behley; Cyrill Stachniss; Girish Chowdhary 001 (CoRR, 2024)

Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Point Clouds. - Daniel Fusaro; Federico Magistri; Jens Behley; Alberto Pretto; Cyrill Stachniss (CoRR, 2024)

Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories. - Louis Wiesmann; Elias Marks; Saurabh Gupta; Tiziano Guadagnino; Jens Behley; Cyrill Stachniss (CoRR, 2024)

Open-World Panoptic Segmentation. - Matteo Sodano; Federico Magistri; Jens Behley; Cyrill Stachniss (CoRR, 2024)

Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization. - Ibrahim Hroob; Benedikt Mersch; Cyrill Stachniss; Marc Hanheide (IEEE Robotics Autom. Lett., 2024)

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning. - Julius Rückin; Federico Magistri; Cyrill Stachniss; Marija Popovic (IEEE Robotics Autom. Lett., 2024)

PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency. - Yue Pan; Xingguang Zhong; Louis Wiesmann; Thorbjörn Posewsky; Jens Behley; Cyrill Stachniss (IEEE Trans. Robotics, 2024)

Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds. - Matthias Zeller; Vardeep S. Sandhu; Benedikt Mersch; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss (IEEE Trans. Robotics, 2024)

PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics. - Claus Smitt; Michael Halstead; Patrick Zimmer; Thomas Läbe; Esra Guclu; Cyrill Stachniss; Chris McCool (IEEE Robotics Autom. Lett., 2024)

Panoptic Segmentation With Partial Annotations for Agricultural Robots. - Jan Weyler; Thomas Läbe; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2024)

A Survey on Global LiDAR Localization: Challenges, Advances and Open Problems. - Huan Yin; Xuecheng Xu; Sha Lu; Xieyuanli Chen; Rong Xiong; Shaojie Shen; Cyrill Stachniss; Yue Wang 020 (Int. J. Comput. Vis., 2024)

Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion. - Federico Magistri; Yue Pan; Jake Bartels; Jens Behley; Cyrill Stachniss; Chris Lehnert (IEEE Robotics Autom. Lett., 2024)

Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning. - Apoorva Vashisth; Julius Rückin; Federico Magistri; Cyrill Stachniss; Marija Popovic (IEEE Robotics Autom. Lett., 2024)

SPR: Single-Scan Radar Place Recognition. - Daniel Casado Herraez; Le Chang; Matthias Zeller; Louis Wiesmann; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2024)

Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment. - Louis Wiesmann; Thomas Läbe; Lucas Nunes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2024)

PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain. - Jan Weyler; Federico Magistri; Elias Marks; Yue Linn Chong; Matteo Sodano; Gianmarco Roggiolani; Nived Chebrolu; Cyrill Stachniss; Jens Behley (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation. - Christian Witte; Jens Behley; Cyrill Stachniss; Marvin Raaijmakers (WACV, 2025)

High-throughput 3D shape completion of potato tubers on a harvester. - Pieter M. Blok; Federico Magistri; Cyrill Stachniss; Haozhou Wang; James Burridge; Wei Guo 002 (Comput. Electron. Agric., 2025)

Unsupervised semantic label generation in agricultural fields. - Gianmarco Roggiolani; Julius Rückin; Marija Popovic; Jens Behley; Cyrill Stachniss (Frontiers Robotics AI, 2025)

ReflectDetect: A software tool for AprilTag-guided in-flight radiometric calibration for UAV-mounted 2D snapshot multi-camera imagery. - Luca Joshua Francis; Lewis Gabriel B. Geissler; Nathan Okole; Bela Gipp; Cyrill Stachniss; René Heim (SoftwareX, 2025)

Efficiently Closing Loops in LiDAR-Based SLAM Using Point Cloud Density Maps. - Saurabh Gupta; Tiziano Guadagnino; Benedikt Mersch; Niklas Trekel; Meher V. R. Malladi; Cyrill Stachniss (CoRR, 2025)

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models. - Hao Dong 011; Moru Liu; Kaiyang Zhou; Eleni N. Chatzi; Juho Kannala; Cyrill Stachniss; Olga Fink (CoRR, 2025)

PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map. - Yue Pan; Xingguang Zhong; Liren Jin; Louis Wiesmann; Marija Popovic; Jens Behley; Cyrill Stachniss (CoRR, 2025)

SemRaFiner: Panoptic Segmentation in Sparse and Noisy Radar Point Clouds. - Matthias Zeller; Daniel Casado Herraez; Bengisu Ayan; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2025)

Keypoint Semantic Integration for Improved Feature Matching in Outdoor Agricultural Environments. - Rajitha de Silva; Jonathan Cox; Marija Popovic; Cesar Cadena 001; Cyrill Stachniss; Riccardo Polvara (CoRR, 2025)

KISS-SLAM: A Simple, Robust, and Accurate 3D LiDAR SLAM System With Enhanced Generalization Capabilities. - Tiziano Guadagnino; Benedikt Mersch; Saurabh Gupta; Ignacio Vizzo; Giorgio Grisetti; Cyrill Stachniss (CoRR, 2025)

3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors. - Matteo Sodano; Federico Magistri; Elias Marks; Fares Hosn; Aibek Zurbayev; Rodrigo Marcuzzi; Meher V. R. Malladi; Jens Behley; Cyrill Stachniss (CoRR, 2025)

Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving. - Lucas Nunes; Rodrigo Marcuzzi; Jens Behley; Cyrill Stachniss (CoRR, 2025)

Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation. - Haofei Kuang; Yue Pan; Xingguang Zhong; Louis Wiesmann; Jens Behley; Cyrill Stachniss (CoRR, 2025)

DM-OSVP++: One-Shot View Planning Using 3D Diffusion Models for Active RGB-Based Object Reconstruction. - Sicong Pan; Liren Jin; Xuying Huang; Cyrill Stachniss; Marija Popovic; Maren Bennewitz (CoRR, 2025)

ActiveGS: Active Scene Reconstruction Using Gaussian Splatting. - Liren Jin; Xingguang Zhong; Yue Pan; Jens Behley; Cyrill Stachniss; Marija Popovic (IEEE Robotics Autom. Lett., 2025)

SfmOcc: Vision-Based 3D Semantic Occupancy Prediction in Urban Environments. - Rodrigo Marcuzzi; Lucas Nunes; Elias Marks; Louis Wiesmann; Thomas Läbe; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2025)

Towards Map-Agnostic Policies for Adaptive Informative Path Planning. - Julius Rückin; David Morilla-Cabello; Cyrill Stachniss; Eduardo Montijano; Marija Popovic (IEEE Robotics Autom. Lett., 2025)

Wheel-GINS: A GNSS/INS Integrated Navigation System With a Wheel-Mounted IMU. - Yibin Wu; Jian Kuang; Xiaoji Niu; Cyrill Stachniss; Lasse Klingbeil; Heiner Kuhlmann (IEEE Trans. Intell. Transp. Syst., 2025)

Globally Consistent RGB-D SLAM with 2D Gaussian Splatting. - Xingguang Zhong; Yue Pan; Liren Jin; Marija Popovic; Jens Behley; Cyrill Stachniss (CoRR, 2025)

Uncertainty-Informed Active Perception for Open Vocabulary Object Goal Navigation. - Utkarsh Bajpai; Julius Rückin; Cyrill Stachniss; Marija Popovic (CoRR, 2025)

RaI-SLAM: Radar-Inertial SLAM for Autonomous Vehicles. - Daniel Casado Herraez; Matthias Zeller; Dong Wang; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2025)

Coherent Online Road Topology Estimation and Reasoning with Standard-Definition Maps. - Khanh Son Pham; Christian Witte; Jens Behley; Johannes Betz; Cyrill Stachniss (CoRR, 2025)

Spatio-Temporal Consistent Semantic Mapping for Robotics Fruit Growth Monitoring. - Luca Lobefaro; Matteo Sodano; Daniel Fusaro; Federico Magistri; Meher V. R. Malladi; Tiziano Guadagnino; Alberto Pretto; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2025)

Doppler-SLAM: Doppler-Aided Radar-Inertial and LiDAR-Inertial Simultaneous Localization and Mapping. - Dong Wang; Hannes Haag; Daniel Casado Herraez; Stefan May; Cyrill Stachniss; Andreas Nüchter (IEEE Robotics Autom. Lett., 2025)