Sensor-Actuator-Comparison as a Basis for Collision Detection for a Quadruped Robot. - Jan Hoffmann 001; Daniel Göhring (RoboCup, 2004)

Making use of what you don't see: negative information in Markov localization. - Jan Hoffmann 001; Michael Spranger; Daniel Göhring; Matthias Jüngel (IROS, 2005)

Exploiting the Unexpected: Negative Evidence Modeling and Proprioceptive Motion Modeling for Improved Markov Localization. - Jan Hoffmann 001; Michael Spranger; Daniel Göhring; Matthias Jüngel (RoboCup, 2005)

Further Studies on the Use of Negative Information in Mobile Robot Localization. - Jan Hoffmann 001; Michael Spranger; Daniel Göhring; Matthias Jüngel; Hans-Dieter Burkhard (ICRA, 2006)

Multi Robot Object Tracking and Self Localization Using Visual Percept Relations. - Daniel Göhring; Hans-Dieter Burkhard (IROS, 2006)

Sensor Modeling Using Visual Object Relation in Multi Robot Object Tracking. - Daniel Göhring; Jan Hoffmann 001 (RoboCup, 2006)

How to Get from Interpolated Keyframes to Neural Attractor Landscapes and Why. - Manfred Hild; Matthias Kubisch; Daniel Göhring (EMCR, 2007)

Cooperative Object Localization Using Line-Based Percept Communication. - Daniel Göhring (RoboCup, 2007)

CooperativeWorld Modeling in Dynamic Multi-Robot Environments. - Daniel Göhring; Hans-Dieter Burkhard (Fundam. Informaticae, 2007)

Constraint Based Object State Modeling. - Daniel Göhring; Heinrich Mellmann; Hans-Dieter Burkhard (EUROS, 2008)

Constraint Based Belief Modeling. - Daniel Göhring; Heinrich Mellmann; Hans-Dieter Burkhard (RoboCup, 2008)

Constraint BasedWorld Modeling. - Daniel Göhring; Heinrich Mellmann; Kataryna Gerasymova; Hans-Dieter Burkhard (Fundam. Informaticae, 2008)

Constraint based world modeling in mobile robotics. - Daniel Göhring; Heinrich Mellmann; Hans-Dieter Burkhard (ICRA, 2009)

Constraint based world modeling for multi agent systems in dynamic environments. - Daniel Göhring (2009)

Constraint Based World Modeling for Multi Agent Systems in Dynamic Environments. - Daniel Göhring (Künstliche Intell., 2010)

Radar/Lidar sensor fusion for car-following on highways. - Daniel Göhring; Miao Wang 001; Michael Schnürmacher; Tinosch Ganjineh (ICARA, 2011)

High Level Sensor Data Fusion of Radar and Lidar for Car-Following on Highways. - Michael Schnürmacher; Daniel Göhring; Miao Wang 001; Tinosch Ganjineh (ICARA (selected extended papers), 2011)

iDriver - Human Machine Interface for Autonomous Cars. - Arturo Reuschenbach; Miao Wang 001; Tinosch Ganjineh; Daniel Göhring (ITNG, 2011)

Semi-autonomous Car Control Using Brain Computer Interfaces. - Daniel Göhring; David Latotzky; Miao Wang 001; Raúl Rojas 001 (IAS (2), 2012)

Grounding spatial relations for human-robot interaction. - Sergio Guadarrama; Lorenzo Riano; Dave Golland; Daniel Göhring; Yangqing Jia; Dan Klein 001; Pieter Abbeel; Trevor Darrell (IROS, 2013)

Interactive adaptation of real-time object detectors. - Daniel Goehring; Judy Hoffman; Erik Rodner; Kate Saenko; Trevor Darrell (ICRA, 2014)

Traffic awareness driver assistance based on stereovision, eye-tracking, and head-up display. - Tobias Langner 002; Daniel Seifert; Bennet Fischer; Daniel Goehring; Tinosch Ganjineh; Raúl Rojas 001 (ICRA, 2016)

Pole-based localization for autonomous vehicles in urban scenarios. - Robert Spangenberg; Daniel Goehring; Raúl Rojas 001 (IROS, 2016)

Online vehicle detection using deep neural networks and lidar based preselected image patches. - Stefan Lange; Fritz Ulbrich; Daniel Goehring (Intelligent Vehicles Symposium, 2016)

Extracting path graphs from vehicle trajectories. - Fritz Ulbrich; Simon Rotter; Daniel Goehring; Raúl Rojas 001 (Intelligent Vehicles Symposium, 2016)

Learning to Detect Visual Grasp Affordance. - Hyun Oh Song; Mario Fritz; Daniel Goehring; Trevor Darrell (IEEE Trans Autom. Sci. Eng., 2016)

Flexible unit A-star trajectory planning for autonomous vehicles on structured road maps. - Zahra Boroujeni; Daniel Goehring; Fritz Ulbrich; Daniel Neumann; Raúl Rojas 001 (ICVES, 2017)

Online vehicle detection using Haar-like, LBP and HOG feature based image classifiers with stereo vision preselection. - Daniel Neumann; Tobias Langner 002; Fritz Ulbrich; Dorothee Spitta; Daniel Goehring (Intelligent Vehicles Symposium, 2017)

Stable timed elastic bands with loose ends. - Fritz Ulbrich; Daniel Goehring; Tobias Langner 002; Zahra Boroujeni; Raúl Rojas 001 (Intelligent Vehicles Symposium, 2017)

Application of open Source Deep Neural Networks for Object Detection in Industrial Environments. - Christian Poss; Olim Ibragimov; Anoshan Indreswaran; Nils Gutsche; Thomas Irrenhauser; Marco Prueglmeier; Daniel Goehring (ICMLA, 2018)

Autonomous Car Navigation Using Vector Fields. - Zahra Boroujeni; Mostafa Mohammadi; Daniel Neumann; Daniel Goehring; Raúl Rojas 001 (Intelligent Vehicles Symposium, 2018)

Traffic Mapping for Autonomous Cars. - Nicolai Steinke; Fritz Ulbrich; Daniel Goehring; Raúl Rojas 001 (Intelligent Vehicles Symposium, 2018)

Following Cars With Elastic Bands. - Fritz Ulbrich; Stephan Sundermann; Tobias Langner 002; Daniel Goehring; Raúl Rojas 001 (Intelligent Vehicles Symposium, 2018)

Enabling Robot Selective Trained Deep Neural Networks for Object Detection Through Intelligent Infrastructure. - Christian Poss; Thomas Irrenhauser; Marco Prueglmeier; Daniel Goehring; Firas Zoghlami; Vahid Salehi; Olimjon Ibragimov (CACRE, 2019)

Perceptionbased Intelligent Materialhandling in Industrial Logistics Environments. - Christian Poss; Thomas Irrenhauser; Marco Prueglmeier; Daniel Goehring; Firas Zoghlami; Vahid Salehi (ICCAE, 2019)

Analytic Collision Risk Calculation for Autonomous Vehicle Navigation. - Andreas Philipp; Daniel Göhring (ICRA, 2019)

Robust Framework for intelligent Gripping Point Detection. - Christian Poss; Ons Ben Mlouka; Thomas Irrenhauser; Marco Prueglmeier; Daniel Goehring; Firas Zoghlami; Vahid Salehi (IECON, 2019)

Accurate Localization of Autonomous Vehicles Based on Pattern Matching and Graph-Based Optimization in Urban Environments. - Bingyi Cao; Claas-Norman Ritter; Daniel Göhring; Raúl Rojas 001 (ITSC, 2020)

Fuzzy Logic-based Adaptive Cruise Control for Autonomous Model Car. - Khaled Alomari; Ricardo Carrillo Mendoza; Stephan Sundermann; Daniel Göhring; Raúl Rojas 001 (ROBOVIS, 2020)

GALNet: An End-to-End Deep Neural Network for Ground Localization of Autonomous Cars. - Ricardo Carrillo Mendoza; Bingyi Cao; Daniel Göhring; Raúl Rojas 001 (ROBOVIS, 2020)

Pedestrian Head and Body Pose Estimation with CNN in the Context of Automated Driving. - Michaela Steinhoff; Daniel Göhring (VEHITS, 2020)

LiDAR-Based Object-Level SLAM for Autonomous Vehicles. - Bingyi Cao; Ricardo Carrillo Mendoza; Andreas Philipp; Daniel Göhring (IROS, 2021)

Path Following with Deep Reinforcement Learning for Autonomous Cars. - Khaled Alomari; Ricardo Carrillo Mendoza; Daniel Goehring; Raúl Rojas 001 (ROBOVIS, 2021)

Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets. - Nicolai Steinke; Claas-Norman Ritter; Daniel Goehring; Raúl Rojas 001 (IEEE Robotics Autom. Lett., 2021)

An Empirical Bayes Analysis of Vehicle Trajectory Models. - Yue Yao; Daniel Goehring; Joerg Reichardt (CoRR, 2022)

Adaptive Perception, State Estimation, and Navigation Methods for Mobile Robots - Daniel Göhring (2022)

Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics. - Philipp Quentin; Dino Knoll; Daniel Goehring (CASE, 2023)

Cooperative LiDAR Localization and Mapping for V2X Connected Autonomous Vehicles. - Bingyi Cao; Claas-Norman Ritter; Khaled Alomari; Daniel Goehring (IROS, 2023)

An Empirical Bayes Analysis of Object Trajectory Representation Models. - Yue Yao; Daniel Goehring; Joerg Reichardt (ITSC, 2023)

MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation. - Philipp Quentin; Daniel Goehring (CASE, 2024)

Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. - Mohamed-Khalil Bouzidi; Yue Yao; Daniel Goehring; Joerg Reichardt (ICRA, 2024)

Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation. - Xavier Timoneda; Markus Herb; Fabian Duerr; Daniel Goehring; Fisher Yu 001 (IROS, 2024)

Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. - Yue Yao; Shengchao Yan; Daniel Goehring; Wolfram Burgard; Joerg Reichardt (IROS, 2024)

Motion Planning Under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control. - Mohamed-Khalil Bouzidi; Bojan Derajic; Daniel Goehring; Joerg Reichardt (ITSC, 2024)

GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain Estimation. - Nicolai Steinke; Daniel Göhring; Raúl Rojas 001 (CoRR, 2024)

GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation. - Nicolai Steinke; Daniel Goehring; Raúl Rojas 001 (IEEE Robotics Autom. Lett., 2024)

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness. - Yue Yao; Daniel Goehring; Joerg Reichardt (CoRR, 2025)

Reachability-Based Contingency Planning against Multi-Modal Predictions with Branch MPC. - Mohamed-Khalil Bouzidi; Bojan Derajic; Daniel Goehring; Joerg Reichardt (CoRR, 2025)

Closing the Loop: Motion Prediction Models beyond Open-Loop Benchmarks. - Mohamed-Khalil Bouzidi; Christian Schlauch; Nicole Scheuerer; Yue Yao; Nadja Klein; Daniel Göhring; Jörg Reichardt (CoRR, 2025)

EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations. - Yue Yao; Mohamed-Khalil Bouzidi; Daniel Goehring; Joerg Reichardt (IEEE Robotics Autom. Lett., 2025)