Daniel Goehring

44 papers A* 3A 4B 7C 2Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SelfOccFlow: Towards End-to-End Self-Supervised 3D Occupancy Flow Prediction. IEEE Robotics Autom. Lett. Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring
2026	J	`jnl`	SelfOccFlow: Towards end-to-end self-supervised 3D Occupancy Flow prediction. CoRR Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring
2025	J	`jnl`	Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness. CoRR Yue Yao, Daniel Goehring, Joerg Reichardt
2025	J	`jnl`	EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations. CoRR Yue Yao, Mohamed-Khalil Bouzidi, Daniel Goehring, Joerg Reichardt
2025	J	`jnl`	EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations. IEEE Robotics Autom. Lett. Yue Yao, Mohamed-Khalil Bouzidi, Daniel Goehring, Joerg Reichardt
2025	J	`jnl`	GroundLoc: Efficient Large-Scale Outdoor LiDAR-Only Localization. CoRR Nicolai Steinke, Daniel Goehring
2025	J	`jnl`	GroundLoc: Efficient Large-Scale Outdoor LiDAR-Only Localization. IEEE Robotics Autom. Lett. Nicolai Steinke, Daniel Goehring
2025	J	`jnl`	Reachability-Based Contingency Planning against Multi-Modal Predictions with Branch MPC. CoRR Mohamed-Khalil Bouzidi, Bojan Derajic, Daniel Goehring, Joerg Reichardt
2024	J	`jnl`	GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation. IEEE Robotics Autom. Lett. Nicolai Steinke, Daniel Goehring, Raúl Rojas
2024	—	`conf`	Impact of 3D LiDAR Resolution in Graph-Based SLAM Approaches: A Comparative Study. ROBOT J. Jorge, Tiago Barros, Cristiano Premebida, Martin Aleksandrov, Daniel Goehring, Urbano J. Nunes
2024	J	`jnl`	Impact of 3D LiDAR Resolution in Graph-based SLAM Approaches: A Comparative Study. CoRR J. Jorge, Tiago Barros, Cristiano Premebida, Martin Aleksandrov, Daniel Goehring, Urbano Nunes
2024	A	`conf`	Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. IROS Yue Yao, Shengchao Yan, Daniel Goehring, Wolfram Burgard, Joerg Reichardt
2024	J	`jnl`	Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations. CoRR Yue Yao, Shengchao Yan, Daniel Goehring, Wolfram Burgard, Joerg Reichardt
2024	A*	`conf`	Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. ICRA Mohamed-Khalil Bouzidi, Yue Yao, Daniel Goehring, Joerg Reichardt
2024	—	`conf`	MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation. CASE Philipp Quentin, Daniel Goehring
2024	J	`jnl`	MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation. CoRR Philipp Quentin, Daniel Goehring
2024	—	`conf`	Motion Planning Under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control. ITSC Mohamed-Khalil Bouzidi, Bojan Derajic, Daniel Goehring, Joerg Reichardt
2024	J	`jnl`	Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control. CoRR Mohamed-Khalil Bouzidi, Bojan Derajic, Daniel Goehring, Joerg Reichardt
2024	A	`conf`	Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation. IROS Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring, Fisher Yu
2024	J	`jnl`	Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation. CoRR Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring, Fisher Yu
2023	—	`conf`	An Empirical Bayes Analysis of Object Trajectory Representation Models. ITSC Yue Yao, Daniel Goehring, Joerg Reichardt
2023	A	`conf`	Cooperative LiDAR Localization and Mapping for V2X Connected Autonomous Vehicles. IROS Bingyi Cao, Claas-Norman Ritter, Khaled Alomari, Daniel Goehring
2023	—	`conf`	Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics. CASE Philipp Quentin, Dino Knoll, Daniel Goehring
2023	J	`jnl`	Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics. CoRR Philipp Quentin, Dino Knoll, Daniel Goehring
2023	J	`jnl`	Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic. CoRR Mohamed-Khalil Bouzidi, Yue Yao, Daniel Goehring, Joerg Reichardt
2022	J	`jnl`	An Empirical Bayes Analysis of Vehicle Trajectory Models. CoRR Yue Yao, Daniel Goehring, Joerg Reichardt
2021	—	`conf`	Path Following with Deep Reinforcement Learning for Autonomous Cars. ROBOVIS Khaled Alomari, Ricardo Carrillo Mendoza, Daniel Goehring, Raúl Rojas
2021	J	`jnl`	Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets. IEEE Robotics Autom. Lett. Nicolai Steinke, Claas-Norman Ritter, Daniel Goehring, Raúl Rojas
2019	—	`conf`	Enabling Robot Selective Trained Deep Neural Networks for Object Detection Through Intelligent Infrastructure. CACRE Christian Poss, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring, Firas Zoghlami, Vahid Salehi, Olimjon Ibragimov
2019	—	`conf`	Perceptionbased Intelligent Materialhandling in Industrial Logistics Environments. ICCAE Christian Poss, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring, Firas Zoghlami, Vahid Salehi
2019	C	`conf`	Robust Framework for intelligent Gripping Point Detection. IECON Christian Poss, Ons Ben Mlouka, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring, Firas Zoghlami, Vahid Salehi
2018	C	`conf`	Application of open Source Deep Neural Networks for Object Detection in Industrial Environments. ICMLA Christian Poss, Olim Ibragimov, Anoshan Indreswaran, Nils Gutsche, Thomas Irrenhauser, Marco Prueglmeier, Daniel Goehring
2018	B	`conf`	Autonomous Car Navigation Using Vector Fields. Intelligent Vehicles Symposium Zahra Boroujeni, Mostafa Mohammadi, Daniel Neumann, Daniel Goehring, Raúl Rojas
2018	B	`conf`	Following Cars With Elastic Bands. Intelligent Vehicles Symposium Fritz Ulbrich, Stephan Sundermann, Tobias Langner, Daniel Goehring, Raúl Rojas
2018	B	`conf`	Traffic Mapping for Autonomous Cars. Intelligent Vehicles Symposium Nicolai Steinke, Fritz Ulbrich, Daniel Goehring, Raúl Rojas
2017	—	`conf`	Flexible unit A-star trajectory planning for autonomous vehicles on structured road maps. ICVES Zahra Boroujeni, Daniel Goehring, Fritz Ulbrich, Daniel Neumann, Raúl Rojas
2017	B	`conf`	Online vehicle detection using Haar-like, LBP and HOG feature based image classifiers with stereo vision preselection. Intelligent Vehicles Symposium Daniel Neumann, Tobias Langner, Fritz Ulbrich, Dorothee Spitta, Daniel Goehring
2017	B	`conf`	Stable timed elastic bands with loose ends. Intelligent Vehicles Symposium Fritz Ulbrich, Daniel Goehring, Tobias Langner, Zahra Boroujeni, Raúl Rojas
2016	B	`conf`	Extracting path graphs from vehicle trajectories. Intelligent Vehicles Symposium Fritz Ulbrich, Simon Rotter, Daniel Goehring, Raúl Rojas
2016	J	`jnl`	Learning to Detect Visual Grasp Affordance. IEEE Trans Autom. Sci. Eng. Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell
2016	B	`conf`	Online vehicle detection using deep neural networks and lidar based preselected image patches. Intelligent Vehicles Symposium Stefan Lange, Fritz Ulbrich, Daniel Goehring
2016	A	`conf`	Pole-based localization for autonomous vehicles in urban scenarios. IROS Robert Spangenberg, Daniel Goehring, Raúl Rojas
2016	A*	`conf`	Traffic awareness driver assistance based on stereovision, eye-tracking, and head-up display. ICRA Tobias Langner, Daniel Seifert, Bennet Fischer, Daniel Goehring, Tinosch Ganjineh, Raúl Rojas
2014	A*	`conf`	Interactive adaptation of real-time object detectors. ICRA Daniel Goehring, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell