Cyrill Stachniss

Orcid: 0000-0003-1173-6972

Affiliations:
  • University of Freiburg, Germany


According to our database1, Cyrill Stachniss authored at least 282 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Panoptic Segmentation With Partial Annotations for Agricultural Robots.
IEEE Robotics Autom. Lett., February, 2024

PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics.
IEEE Robotics Autom. Lett., January, 2024

Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds.
IEEE Trans. Robotics, 2024

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning.
IEEE Robotics Autom. Lett., 2024

Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization.
IEEE Robotics Autom. Lett., 2024

Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning.
CoRR, 2024

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion.
CoRR, 2024

STAIR: Semantic-Targeted Active Implicit Reconstruction.
CoRR, 2024

Open-World Semantic Segmentation Including Class Similarity.
CoRR, 2024

Deep Reinforcement Learning with Dynamic Graphs for Adaptive Informative Path Planning.
CoRR, 2024

PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency.
CoRR, 2024

2023
An Informative Path Planning Framework for Active Learning in UAV-Based Semantic Mapping.
IEEE Trans. Robotics, December, 2023

Localization Exploiting Semantic and Metric Information in Non-static Indoor Environments.
J. Intell. Robotic Syst., December, 2023

Unsupervised Pre-Training for 3D Leaf Instance Segmentation.
IEEE Robotics Autom. Lett., November, 2023

Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences.
IEEE Robotics Autom. Lett., November, 2023

Online and offline learning of player objectives from partial observations in dynamic games.
Int. J. Robotics Res., September, 2023

From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics.
Comput. Electron. Agric., September, 2023

Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots.
IEEE Robotics Autom. Lett., June, 2023

IR-MCL: Implicit Representation-Based Online Global Localization.
IEEE Robotics Autom. Lett., March, 2023

Adaptive path planning for UAVs for multi-resolution semantic segmentation.
Robotics Auton. Syst., 2023

Online pole segmentation on range images for long-term LiDAR localization in urban environments.
Robotics Auton. Syst., 2023

Static map generation from 3D LiDAR point clouds exploiting ground segmentation.
Robotics Auton. Syst., 2023

Long-Term Localization Using Semantic Cues in Floor Plan Maps.
IEEE Robotics Autom. Lett., 2023

Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data.
IEEE Robotics Autom. Lett., 2023

KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition.
IEEE Robotics Autom. Lett., 2023

LocNDF: Neural Distance Field Mapping for Robot Localization.
IEEE Robotics Autom. Lett., 2023

KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way.
IEEE Robotics Autom. Lett., 2023

Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation.
IEEE Robotics Autom. Lett., 2023

High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions.
IEEE Robotics Autom. Lett., 2023

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving.
IEEE Robotics Autom. Lett., 2023

Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms.
IEEE Robotics Autom. Lett., 2023

BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions.
CoRR, 2023

Data-Centric Digital Agriculture: A Perspective.
CoRR, 2023

LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters.
CoRR, 2023

PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain.
CoRR, 2023

Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior.
CoRR, 2023

A Survey on Global LiDAR Localization.
CoRR, 2023

Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations.
CoRR, 2023

ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization.
IROS, 2023

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots.
IROS, 2023

Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots.
IROS, 2023

Semantically Informed MPC for Context-Aware Robot Exploration.
IROS, 2023

SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robust Double-Encoder Network for RGB-D Panoptic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Fruit Tracking Over Time Using High-Precision Point Clouds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Target-Aware Implicit Mapping for Agricultural Crop Inspection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data.
Sensors, 2022

DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments.
IEEE Robotics Autom. Lett., 2022

Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery.
IEEE Robotics Autom. Lett., 2022

Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments.
IEEE Robotics Autom. Lett., 2022

SegContrast: 3D Point Cloud Feature Representation Learning Through Self-Supervised Segment Discrimination.
IEEE Robotics Autom. Lett., 2022

Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.
IEEE Robotics Autom. Lett., 2022

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions.
IEEE Robotics Autom. Lett., 2022

Contrastive Instance Association for 4D Panoptic Segmentation Using Sequences of 3D LiDAR Scans.
IEEE Robotics Autom. Lett., 2022

Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames.
IEEE Robotics Autom. Lett., 2022

Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform.
IEEE Robotics Autom. Lett., 2022

Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images.
IEEE Robotics Autom. Lett., 2022

Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation.
IEEE Robotics Autom. Lett., 2022

Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation.
CoRR, 2022

OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition.
CoRR, 2022

OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization.
Auton. Robots, 2022

In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Mixed Strategies in Trajectory Games.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Robust Onboard Localization in Changing Environments Exploiting Text Spotting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

ICK-Track: A Category-Level 6-DoF Pose Tracker Using Inter-Frame Consistent Keypoints for Aerial Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Informative Path Planning for Active Learning in Aerial Semantic Mapping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

MD-SLAM: Multi-cue Direct SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Retriever: Point Cloud Retrieval in Compressed 3D Maps.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution.
IEEE Robotics Autom. Mag., 2021

Deep Compression for Dense Point Cloud Maps.
IEEE Robotics Autom. Lett., 2021

Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping.
IEEE Robotics Autom. Lett., 2021

Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks.
IEEE Robotics Autom. Lett., 2021

Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data.
IEEE Robotics Autom. Lett., 2021

Adaptive Robust Kernels for Non-Linear Least Squares Problems.
IEEE Robotics Autom. Lett., 2021

Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset.
Int. J. Robotics Res., 2021

Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry.
Comput. Electron. Agric., 2021

Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Efficient Localisation Using Images and OpenStreetMaps.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Improving Monocular Depth Estimation by Semantic Pre-training.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Visual Place Recognition using LiDAR Intensity Information.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Poisson Surface Reconstruction for LiDAR Odometry and Mapping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Simple But Effective Redundant Odometry for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Range Image-based LiDAR Localization for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Video Contrastive Learning with Global Context.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Adaptive Path Planning for UAV-based Multi-Resolution Semantic Segmentation.
Proceedings of the 10th European Conference on Mobile Robots, 2021

Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments.
Proceedings of the 10th European Conference on Mobile Robots, 2021

Mapping the Static Parts of Dynamic Scenes from 3D LiDAR Point Clouds Exploiting Ground Segmentation.
Proceedings of the 10th European Conference on Mobile Robots, 2021

Monitoring and Mapping of Crop Fields with UAV Swarms Based on Information Gain.
Proceedings of the Distributed Autonomous Robotic Systems - 15th International Symposium, 2021

4D Panoptic LiDAR Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Robotic weed control using automated weed and crop classification.
J. Field Robotics, 2020

Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming.
J. Field Robotics, 2020

JFR special issue on agricultural robotics, part 2.
J. Field Robotics, 2020

Special issue on agricultural robotics.
J. Field Robotics, 2020

Classifying Obstacles and Exploiting Class Information for Humanoid Navigation Through Cluttered Environments.
Int. J. Humanoid Robotics, 2020

OverlapNet: Loop Closing for LiDAR-based SLAM.
Proceedings of the Robotics: Science and Systems XVI, 2020

LiDAR Panoptic Segmentation for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning an Overlap-based Observation Model for 3D LiDAR Localization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Visual Servoing-based Navigation for Monitoring Row-Crop Fields.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Effective Visual Place Recognition Using Multi-Sequence Maps.
IEEE Robotics Autom. Lett., 2019

Building an Aerial-Ground Robotics System for Precision Farming.
CoRR, 2019

A Dataset for Semantic Segmentation of Point Cloud Sequences.
CoRR, 2019

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

SuMa++: Efficient LiDAR-based Semantic SLAM.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Approximating Marginalization with Sparse Global Priors for Sliding Window SLAM-Graphs.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

A Comparison of Particle Filter and Graph-Based Optimization for Localization with Landmarks in Automated Vehicles.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Localization with Sliding Window Factor Graphs on Third-Party Maps for Automated Driving.
Proceedings of the International Conference on Robotics and Automation, 2019

Coverage Path Planning in Belief Space.
Proceedings of the International Conference on Robotics and Automation, 2019

Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs.
Proceedings of the International Conference on Robotics and Automation, 2019

Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models.
Proceedings of the International Conference on Robotics and Automation, 2019

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs.
Proceedings of the International Conference on Robotics and Automation, 2019

Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics.
Proceedings of the International Conference on Robotics and Automation, 2019

Accurate Direct Visual-Laser Odometry with Explicit Occlusion Handling and Plane Detection.
Proceedings of the International Conference on Robotics and Automation, 2019

Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields.
Proceedings of the International Conference on Robotics and Automation, 2019

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Global Localization on OpenStreetMap Using 4-bit Semantic Descriptors.
Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018
Robust Visual Localization Across Seasons.
IEEE Trans. Robotics, 2018

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming.
Remote. Sens., 2018

Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming.
IEEE Robotics Autom. Lett., 2018

Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture.
IEEE Robotics Autom. Lett., 2018

Geometrical Stem Detection from Image Data for Precision Agriculture.
CoRR, 2018

WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming.
CoRR, 2018

Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM.
Adv. Eng. Informatics, 2018

Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments.
Proceedings of the Robotics: Science and Systems XIV, 2018

Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Joint Ego-motion Estimation Using a Laser Scanner and a Monocular Camera Through Relative Orientation Estimation and 1-DoF ICP.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Fast Image-Based Geometric Change Detection Given a 3D Model.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

On Geometric Models and Their Accuracy for Extrinsic Sensor Calibration.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017
Robust exploration and homing for autonomous robots.
Robotics Auton. Syst., 2017

User preferred behaviors for robot navigation exploiting previous experiences.
Robotics Auton. Syst., 2017

Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming.
J. Field Robotics, 2017

Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields.
Int. J. Robotics Res., 2017

Automatic Room Segmentation of 3D Laser Data Using Morphological Processing.
ISPRS Int. J. Geo Inf., 2017

Efficient path planning in belief space for safe navigation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Extrinsic multi-sensor calibration for mobile robots using the Gauss-Helmert model.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Analyzing the quality of matched 3D point clouds of objects.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

UAV-based crop and weed classification for smart farming.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Simultaneous Localization and Mapping.
Proceedings of the Springer Handbook of Robotics, 2016

Lazy Data Association For Image Sequences Matching Under Substantial Appearance Changes.
IEEE Robotics Autom. Lett., 2016

On the Accuracy of Dense Fisheye Stereo.
IEEE Robotics Autom. Lett., 2016

Speeding-Up Robot Exploration by Exploiting Background Information.
IEEE Robotics Autom. Lett., 2016

Organizing objects by predicting user preferences through collaborative filtering.
Int. J. Robotics Res., 2016

Exploiting building information from publicly available maps in graph-based SLAM.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Experience-based path planning for mobile robots exploiting user preferences.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Pose fusion with chain pose graphs for automated driving.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Fast range image-based segmentation of sparse 3D laser scans for online operation.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Fast and effective online pose estimation and mapping for UAVs.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

An effective classification system for separating sugar beets and weeds for precision farming applications.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Robust homing for autonomous robots.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Autonomous Robot Navigation in Highly Populated Pedestrian Zones.
J. Field Robotics, 2015

Collaborative Filtering for Predicting User Preferences for Organizing Objects.
CoRR, 2015

Robust visual SLAM across seasons.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Efficient and effective matching of image sequences under substantial appearance changes exploiting GPS priors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Predictive exploration considering previously mapped environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Where to park? minimizing the expected time to find a parking space.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Robot, organize my shelves! Tidying up objects by predicting user preferences.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A new approach to digitalization and data management of cultural heritage sites.
Proceedings of the 2nd Digital Heritage International Congress, 2015

2014
Identifying vegetation from laser data in structured outdoor environments.
Robotics Auton. Syst., 2014

Learning object deformation models for robot motion planning.
Robotics Auton. Syst., 2014

Survey of Geodetic Mapping Methods: Geodetic Approaches to Mapping and the Relationship to Graph-Based SLAM.
IEEE Robotics Autom. Mag., 2014

Particle Filters for Robot Navigation.
Found. Trends Robotics, 2014

Automatic channel selection and neural signal estimation across channels of neural probes.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Effective compression of range data streams for remote robot operations using H.264.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Learning to give route directions from human demonstrations.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

A statistical measure for map consistency in SLAM.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

W-RGB-D: Floor-plan-based indoor global localization using a depth camera and WiFi.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Experimental analysis of dynamic covariance scaling for robust map optimization under bad initial estimates.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Helmert's and Bowie's geodetic mapping methods and their relation to graph-based SLAM.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Inferring what to imitate in manipulation actions by using a recommender system.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Robust Visual Robot Localization Across Seasons Using Network Flows.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Vision-Based humanoid Navigation using Self-Supervised Obstacle Detection.
Int. J. Humanoid Robotics, 2013

Coordinating heterogeneous teams of robots using temporal symbolic planning.
Auton. Robots, 2013

OctoMap: an efficient probabilistic 3D mapping framework based on octrees.
Auton. Robots, 2013

Exploration and mapping of catacombs with mobile robots.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2013

A navigation system for robots operating in crowded urban environments.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Robust map optimization using dynamic covariance scaling.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning manipulation actions from a few demonstrations.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Robotics: Probabilistic Methods for State Estimation and Control.
Proceedings of the 43. Jahrestagung der Gesellschaft für Informatik, 2013

Efficient traversability analysis for mobile robots using the Kinect sensor.
Proceedings of the 2013 European Conference on Mobile Robots, 2013

2012
Information-theoretic compression of pose graphs for laser-based SLAM.
Int. J. Robotics Res., 2012

Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction.
Proceedings of the Robotics: Science and Systems VIII, 2012

On the position accuracy of mobile robot localization based on particle filters combined with scan matching.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
A Probabilistic Framework for Learning Kinematic Models of Articulated Objects.
J. Artif. Intell. Res., 2011

Pose Graph Compression for Laser-Based SLAM.
Proceedings of the Robotics Research, 2011

Accurate human motion capture in large areas by combining IMU- and laser-based people tracking.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Hierarchies of octrees for efficient 3D mapping.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Efficient motion planning for manipulation robots in environments with deformable objects.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Self-supervised obstacle detection for humanoid navigation using monocular vision and sparse laser data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Simultaneous parameter calibration, localization, and mapping for robust service robotics.
Proceedings of the Advanced Robotics and its Social Impacts, 2011

Using Gaussian Process Regression for Efficient Motion Planning in Environments with Deformable Objects.
Proceedings of the Automated Action Planning for Autonomous Mobile Robots, 2011

2010
Bridging the gap between feature- and grid-based SLAM.
Robotics Auton. Syst., 2010

A nonparametric learning approach to range sensing from omnidirectional vision.
Robotics Auton. Syst., 2010

Lifelong Map Learning for Graph-based SLAM in Static Environments.
Künstliche Intell., 2010

Editorial: Visual navigation and mapping outdoors.
J. Field Robotics, 2010

A Tutorial on Graph-Based SLAM.
IEEE Intell. Transp. Syst. Mag., 2010

Coordinated exploration with marsupial teams of robots using temporal symbolic planning.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Operating articulated objects based on experience.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Learning the elasticity parameters of deformable objects with a manipulation robot.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Vision-based detection for learning articulation models of cabinet doors and drawers in household environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Consistent mapping of multistory buildings by introducing global constraints to graph-based SLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Hierarchical optimization on manifolds for online 2D and 3D mapping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Nonlinear Constraint Network Optimization for Efficient Map Learning.
IEEE Trans. Intell. Transp. Syst., 2009

Learning gas distribution models using sparse Gaussian process mixtures.
Auton. Robots, 2009

On measuring the accuracy of SLAM algorithms.
Auton. Robots, 2009

Unsupervised discovery of object classes from range data using latent Dirichlet allocation.
Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

Learning Landmark Selection Policies for Mapping Unknown Environments.
Proceedings of the Robotics Research - The 14th International Symposium, 2009

Improving robot navigation in structured outdoor environments by identifying vegetation from laser data.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Object identification with tactile sensors using bag-of-features.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

A comparison of SLAM algorithms based on a graph of relations.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Learning Kinematic Models for Articulated Objects.
Proceedings of the IJCAI 2009, 2009

Which landmark is useful? Learning selection policies for navigation in unknown environments.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Real-world robot navigation amongst deformable obstacles.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Imitation learning with generalized task descriptions.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Utilizing reflection properties of surfaces to improve mobile robot localization.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Robotic Mapping and Exploration
Springer Tracts in Advanced Robotics 55, Springer, ISBN: 978-3-642-01096-5, 2009

2008
Visual SLAM for Flying Vehicles.
IEEE Trans. Robotics, 2008

Efficient exploration of unknown indoor environments using a team of mobile robots.
Ann. Math. Artif. Intell., 2008

Gas Distribution Modeling using Sparse Gaussian Process Mixture Models.
Proceedings of the Robotics: Science and Systems IV, 2008

Coordinated multi-robot exploration using a segmentation of the environment.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Estimating landmark locations from geo-referenced photographs.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

How to learn accurate grid maps with a humanoid.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Monocular range sensing: A non-parametric learning approach.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Online constraint network optimization for efficient maximum likelihood map learning.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Efficient path planning for mobile robots in environments with deformable objects.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007
Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters.
IEEE Trans. Robotics, 2007

Fast and accurate SLAM with Rao-Blackwellized particle filters.
Robotics Auton. Syst., 2007

Efficiently Learning Metric and Topological Maps with Autonomous Service Robots (Effizientes Lernen metrischer und topologischer Karten mit autonomen Servicerobotern).
it Inf. Technol., 2007

A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent.
Proceedings of the Robotics: Science and Systems III, 2007

Learning maps in 3D using attitude and noisy vision sensors.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Analyzing gaussian proposal distributions for mapping with rao-blackwellized particle filters.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Efficient estimation of accurate maximum likelihood maps in 3D.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Towards Mapping of Cities.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Improved Simultaneous Localization and Mapping using a Dual Representation of the Environment.
Proceedings of the 3rd European Conference on Mobile Robots, 2007

Visual Bearing-Only Simultaneous Localization and Mapping with Improved Feature Matching.
Proceedings of the Autonome Mobile Systeme 2007, 2007

Autonomous Exploration for 3D Map Learning.
Proceedings of the Autonome Mobile Systeme 2007, 2007

2006
Exploration and mapping with mobile robots.
PhD thesis, 2006

Improving Data Association in Vision-based SLAM.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Speeding-up Multi-robot Exploration by Considering Semantic Place Information.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Speeding-up Rao-blackwellized SLAM.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters.
Proceedings of the First European Robotics Symposium 2006, 2006

Metric Localization with Scale-Invariant Visual Features Using a Single Perspective Camera.
Proceedings of the First European Robotics Symposium 2006, 2006

2005
Coordinated multi-robot exploration.
IEEE Trans. Robotics, 2005

TOURBOT and WebFAIR: Web-operated mobile robots for tele-presence in populated exhibitions.
IEEE Robotics Autom. Mag., 2005

On actively closing loops in grid-based FastSLAM.
Adv. Robotics, 2005

Information Gain-based Exploration Using Rao-Blackwellized Particle Filters.
Proceedings of the Robotics: Science and Systems I, 2005

Using AdaBoost for Place Labeling and Topological Map Building.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

Recovering Particle Diversity in a Rao-Blackwellized Particle Filter for SLAM After Actively Closing Loops.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Supervised Learning of Places from Range Data using AdaBoost.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Mobile Robot Mapping and Localization in Non-Static Environments.
Proceedings of the Proceedings, 2005

Semantic Place Classification of Indoor Environments with Mobile Robots Using Boosting.
Proceedings of the Proceedings, 2005

2004
Exploration with active loop-closing for FastSLAM.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

2003
Mapping and exploration with mobile robots using coverage maps.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Exploring Unknown Environments with Mobile Robots using Coverage Maps.
Proceedings of the IJCAI-03, 2003

2002
An integrated approach to goal-directed obstacle avoidance under dynamic constraints for dynamic environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002


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