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ORCIDDaniel Göhring
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- affiliation: FU Berlin, Dahlem Center for Machine Learning and Robotics, Germany
- affiliation: University of California at Berkeley, International Computer Science Institute (ICSI), CA, USA
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2020 – today
- 2025
[i9]Yue Yao, Daniel Goehring, Joerg Reichardt:
Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness. CoRR abs/2501.15842 (2025)- 2024
- [j6]Nicolai Steinke
, Daniel Goehring, Raúl Rojas:
GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation. IEEE Robotics Autom. Lett. 9(1): 420-426 (2024) - [c45]Philipp Quentin, Daniel Goehring:
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation. CASE 2024: 1928-1934 - [c44]Mohamed-Khalil Bouzidi, Yue Yao, Daniel Goehring, Joerg Reichardt:
Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. ICRA 2024: 14265-14271 - [c43]Yue Yao, Shengchao Yan, Daniel Goehring, Wolfram Burgard, Joerg Reichardt:
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. IROS 2024: 488-495 - [c42]Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring, Fisher Yu:
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation. IROS 2024: 12939-12946 - [i8]Mohamed-Khalil Bouzidi, Bojan Derajic, Daniel Goehring, Joerg Reichardt:
Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control. CoRR abs/2405.03470 (2024) - [i7]Nicolai Steinke, Daniel Göhring, Raúl Rojas:
GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain Estimation. CoRR abs/2405.15664 (2024) - [i6]Yue Yao, Shengchao Yan, Daniel Goehring, Wolfram Burgard, Joerg Reichardt:
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. CoRR abs/2407.13431 (2024) - [i5]Philipp Quentin, Daniel Goehring:
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation. CoRR abs/2409.03556 (2024) - [i4]Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring, Fisher Yu:
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation. CoRR abs/2411.02969 (2024) - 2023
- [c41]Philipp Quentin, Dino Knoll, Daniel Goehring:
Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics. CASE 2023: 1-8 - [c40]Bingyi Cao, Claas-Norman Ritter, Khaled Alomari, Daniel Goehring:
Cooperative LiDAR Localization and Mapping for V2X Connected Autonomous Vehicles. IROS 2023: 11019-11026 - [c39]Yue Yao, Daniel Goehring, Joerg Reichardt:
An Empirical Bayes Analysis of Object Trajectory Representation Models. ITSC 2023: 902-909 - [i3]Philipp Quentin, Dino Knoll, Daniel Goehring:
Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics. CoRR abs/2309.14265 (2023) - [i2]Mohamed-Khalil Bouzidi, Yue Yao, Daniel Goehring, Joerg Reichardt:
Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. CoRR abs/2310.02918 (2023) - 2022
- [b2]Daniel Göhring:
Adaptive Perception, State Estimation, and Navigation Methods for Mobile Robots. FU Berlin, Germany, 2022 - [i1]Yue Yao, Daniel Goehring, Joerg Reichardt:
An Empirical Bayes Analysis of Vehicle Trajectory Models. CoRR abs/2211.01696 (2022) - 2021
- [j5]Nicolai Steinke, Claas-Norman Ritter, Daniel Goehring, Raúl Rojas:
Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets. IEEE Robotics Autom. Lett. 6(2): 2761-2767 (2021) - [c38]Bingyi Cao, Ricardo Carrillo Mendoza, Andreas Philipp, Daniel Göhring:
LiDAR-Based Object-Level SLAM for Autonomous Vehicles. IROS 2021: 4397-4404 - [c37]Khaled Alomari, Ricardo Carrillo Mendoza, Daniel Goehring, Raúl Rojas:
Path Following with Deep Reinforcement Learning for Autonomous Cars. ROBOVIS 2021: 173-181 - 2020
- [c36]Bingyi Cao, Claas-Norman Ritter, Daniel Göhring, Raúl Rojas:
Accurate Localization of Autonomous Vehicles Based on Pattern Matching and Graph-Based Optimization in Urban Environments. ITSC 2020: 1-6 - [c35]Ricardo Carrillo Mendoza, Bingyi Cao, Daniel Göhring, Raúl Rojas:
GALNet: An End-to-End Deep Neural Network for Ground Localization of Autonomous Cars. ROBOVIS 2020: 39-50 - [c34]Khaled Alomari, Ricardo Carrillo Mendoza, Stephan Sundermann, Daniel Göhring, Raúl Rojas:
Fuzzy Logic-based Adaptive Cruise Control for Autonomous Model Car. ROBOVIS 2020: 121-130 - [c33]Michaela Steinhoff, Daniel Göhring:
Pedestrian Head and Body Pose Estimation with CNN in the Context of Automated Driving. VEHITS 2020: 353-360
2010 – 2019
- 2019
- [c32]Christian Poss, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring, Firas Zoghlami, Vahid Salehi, Olimjon Ibragimov:
Enabling Robot Selective Trained Deep Neural Networks for Object Detection Through Intelligent Infrastructure. CACRE 2019: 13:1-13:6 - [c31]Christian Poss, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring, Firas Zoghlami, Vahid Salehi:
Perceptionbased Intelligent Materialhandling in Industrial Logistics Environments. ICCAE 2019: 146-151 - [c30]Andreas Philipp, Daniel Göhring:
Analytic Collision Risk Calculation for Autonomous Vehicle Navigation. ICRA 2019: 1744-1750 - [c29]Christian Poss, Ons Ben Mlouka, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring, Firas Zoghlami, Vahid Salehi:
Robust Framework for intelligent Gripping Point Detection. IECON 2019: 717-723 - 2018
- [c28]Christian Poss, Olim Ibragimov, Anoshan Indreswaran, Nils Gutsche, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring:
Application of open Source Deep Neural Networks for Object Detection in Industrial Environments. ICMLA 2018: 231-236 - [c27]Nicolai Steinke, Fritz Ulbrich, Daniel Goehring, Raúl Rojas:
Traffic Mapping for Autonomous Cars. Intelligent Vehicles Symposium 2018: 689-694 - [c26]Zahra Boroujeni, Mostafa Mohammadi, Daniel Neumann, Daniel Goehring, Raúl Rojas:
Autonomous Car Navigation Using Vector Fields. Intelligent Vehicles Symposium 2018: 794-799 - [c25]Fritz Ulbrich, Stephan Sundermann, Tobias Langner, Daniel Goehring, Raúl Rojas:
Following Cars With Elastic Bands. Intelligent Vehicles Symposium 2018: 1529-1536 - 2017
- [c24]Zahra Boroujeni, Daniel Goehring, Fritz Ulbrich, Daniel Neumann, Raúl Rojas:
Flexible unit A-star trajectory planning for autonomous vehicles on structured road maps. ICVES 2017: 7-12 - [c23]Fritz Ulbrich, Daniel Goehring, Tobias Langner, Zahra Boroujeni, Raúl Rojas:
Stable timed elastic bands with loose ends. Intelligent Vehicles Symposium 2017: 186-192 - [c22]Daniel Neumann, Tobias Langner, Fritz Ulbrich, Dorothee Spitta, Daniel Goehring:
Online vehicle detection using Haar-like, LBP and HOG feature based image classifiers with stereo vision preselection. Intelligent Vehicles Symposium 2017: 773-778 - 2016
- [j4]Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell:
Learning to Detect Visual Grasp Affordance. IEEE Trans Autom. Sci. Eng. 13(2): 798-809 (2016) - [c21]Tobias Langner, Daniel Seifert, Bennet Fischer, Daniel Goehring, Tinosch Ganjineh, Raúl Rojas:
Traffic awareness driver assistance based on stereovision, eye-tracking, and head-up display. ICRA 2016: 3167-3173 - [c20]Robert Spangenberg, Daniel Goehring, Raúl Rojas:
Pole-based localization for autonomous vehicles in urban scenarios. IROS 2016: 2161-2166 - [c19]Stefan Lange, Fritz Ulbrich, Daniel Goehring:
Online vehicle detection using deep neural networks and lidar based preselected image patches. Intelligent Vehicles Symposium 2016: 954-959 - [c18]Fritz Ulbrich, Simon Rotter, Daniel Goehring, Raúl Rojas:
Extracting path graphs from vehicle trajectories. Intelligent Vehicles Symposium 2016: 1260-1264 - 2014
- [c17]Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Interactive adaptation of real-time object detectors. ICRA 2014: 1282-1289 - 2013
- [c16]Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell:
Grounding spatial relations for human-robot interaction. IROS 2013: 1640-1647 - 2012
- [c15]Daniel Göhring, David Latotzky, Miao Wang, Raúl Rojas:
Semi-autonomous Car Control Using Brain Computer Interfaces. IAS (2) 2012: 393-408 - 2011
- [c14]Michael Schnürmacher, Daniel Göhring, Miao Wang, Tinosch Ganjineh:
High Level Sensor Data Fusion of Radar and Lidar for Car-Following on Highways. ICARA (selected extended papers) 2011: 217-230 - [c13]Daniel Göhring, Miao Wang, Michael Schnürmacher, Tinosch Ganjineh:
Radar/Lidar sensor fusion for car-following on highways. ICARA 2011: 407-412 - [c12]Arturo Reuschenbach, Miao Wang, Tinosch Ganjineh, Daniel Göhring:
iDriver - Human Machine Interface for Autonomous Cars. ITNG 2011: 435-440 - 2010
- [j3]Daniel Göhring:
Constraint Based World Modeling for Multi Agent Systems in Dynamic Environments. Künstliche Intell. 24(4): 349-353 (2010)
2000 – 2009
- 2009
- [b1]Daniel Göhring:
Constraint based world modeling for multi agent systems in dynamic environments. Humboldt University of Berlin, 2009, pp. 1-159 - [c11]Daniel Göhring, Heinrich Mellmann, Hans-Dieter Burkhard:
Constraint based world modeling in mobile robotics. ICRA 2009: 2538-2543 - 2008
- [j2]Daniel Göhring, Heinrich Mellmann, Kataryna Gerasymova, Hans-Dieter Burkhard:
Constraint BasedWorld Modeling. Fundam. Informaticae 85(1-4): 123-137 (2008) - [c10]Daniel Göhring, Heinrich Mellmann, Hans-Dieter Burkhard:
Constraint Based Object State Modeling. EUROS 2008: 63-72 - [c9]Daniel Göhring, Heinrich Mellmann, Hans-Dieter Burkhard:
Constraint Based Belief Modeling. RoboCup 2008: 73-84 - 2007
- [j1]Daniel Göhring, Hans-Dieter Burkhard:
CooperativeWorld Modeling in Dynamic Multi-Robot Environments. Fundam. Informaticae 75(1-4): 281-294 (2007) - [c8]Manfred Hild, Matthias Kubisch, Daniel Göhring:
How to Get from Interpolated Keyframes to Neural Attractor Landscapes and Why. EMCR 2007 - [c7]Daniel Göhring:
Cooperative Object Localization Using Line-Based Percept Communication. RoboCup 2007: 53-64 - 2006
- [c6]Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel, Hans-Dieter Burkhard:
Further Studies on the Use of Negative Information in Mobile Robot Localization. ICRA 2006: 62-67 - [c5]Daniel Göhring, Hans-Dieter Burkhard:
Multi Robot Object Tracking and Self Localization Using Visual Percept Relations. IROS 2006: 31-36 - [c4]Daniel Göhring, Jan Hoffmann:
Sensor Modeling Using Visual Object Relation in Multi Robot Object Tracking. RoboCup 2006: 279-286 - 2005
- [c3]Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel:
Making use of what you don't see: negative information in Markov localization. IROS 2005: 2947-2952 - [c2]Jan Hoffmann, Michael Spranger, Daniel Göhring, Matthias Jüngel:
Exploiting the Unexpected: Negative Evidence Modeling and Proprioceptive Motion Modeling for Improved Markov Localization. RoboCup 2005: 24-35 - 2004
- [c1]Jan Hoffmann, Daniel Göhring:
Sensor-Actuator-Comparison as a Basis for Collision Detection for a Quadruped Robot. RoboCup 2004: 150-159
Coauthor Index
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last updated on 2025-03-04 02:00 CET by the dblp team
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