Daniel Büscher

29 papers A* 5A 3Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Label-Efficient Point Cloud Segmentation with Active Learning. CoRR Johannes Meyer, Jasper Hoffmann, Felix Schulz, Dominik Merkle, Daniel Büscher, Alexander Reiterer, Joschka Boedecker, Wolfram Burgard
2024	J	`jnl`	Evaluation of a Smart Mobile Robotic System for Industrial Plant Inspection and Supervision. CoRR Georg K. J. Fischer, Max Bergau, D. Adriana Gómez-Rosal, Andreas Wachaja, Johannes Gräter, Matthias Odenweller, Uwe Piechottka, Fabian Hoeflinger, Nikhil Gosala, Niklas Wetzel, Daniel Büscher, Abhinav Valada, Wolfram Burgard
2024	J	`jnl`	uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties. CoRR Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
2024	J	`jnl`	uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties. IEEE Robotics Autom. Lett. Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
2023	—	`conf`	A Smart Robotic System for Industrial Plant Supervision. SENSORS D. Adriana Gómez-Rosal, Max Bergau, Georg K. J. Fischer, Andreas Wachaja, Johannes Grater, Matthias Odenweller, Uwe Piechottka, Fabian Hoeflinger, Nikhil Gosala, Niklas Wetzel, Daniel Büscher, Abhinav Valada, Wolfram Burgard
2023	J	`jnl`	A Smart Robotic System for Industrial Plant Supervision. CoRR D. Adriana Gómez-Rosal, Max Bergau, Georg K. J. Fischer, Andreas Wachaja, Johannes Gräter, Matthias Odenweller, Uwe Piechottka, Fabian Hoeflinger, Nikhil Gosala, Niklas Wetzel, Daniel Büscher, Abhinav Valada, Wolfram Burgard
2023	J	`jnl`	Uncertainty-Aware Panoptic Segmentation. IEEE Robotics Autom. Lett. Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard
2023	A*	`conf`	Uncertainty-aware LiDAR Panoptic Segmentation. ICRA Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard
2022	J	`jnl`	Courteous Behavior of Automated Vehicles at Unsignalized Intersections Via Reinforcement Learning. IEEE Robotics Autom. Lett. Shengchao Yan, Tim Welschehold, Daniel Büscher, Wolfram Burgard
2022	J	`jnl`	EfficientLPS: Efficient LiDAR Panoptic Segmentation. IEEE Trans. Robotics Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada
2022	A*	`conf`	Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation. ICRA Kürsat Petek, Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
2022	J	`jnl`	Uncertainty-aware LiDAR Panoptic Segmentation. CoRR Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard
2022	J	`jnl`	Uncertainty-aware Panoptic Segmentation. CoRR Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard
2021	J	`jnl`	Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning. CoRR Shengchao Yan, Tim Welschehold, Daniel Büscher, Wolfram Burgard
2021	J	`jnl`	EfficientLPS: Efficient LiDAR Panoptic Segmentation. CoRR Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada
2021	J	`jnl`	Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans. Robotics Auton. Syst. Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
2021	J	`jnl`	Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation. CoRR Kürsat Petek, Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
2020	A	`conf`	Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. IROS Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard
2020	J	`jnl`	Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. CoRR Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard
2020	A*	`conf`	Predicting Obstacle Footprints from 2D Occupancy Maps by Learning from Physical Interactions. ICRA Marina Kollmitz, Daniel Büscher, Wolfram Burgard
2019	A*	`conf`	A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. ICRA Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
2019	J	`jnl`	A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. CoRR Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
2019	J	`jnl`	A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans. CoRR Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard
2019	—	`conf`	Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. ECMR Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
2019	J	`jnl`	Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. CoRR Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
2019	J	`jnl`	On the Bayes Filter for Shared Autonomy. IEEE Robotics Autom. Lett. Lukas Luft, Federico Boniardi, Alexander Schaefer, Daniel Büscher, Wolfram Burgard
2018	A	`conf`	A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans. IROS Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard
2018	A	`conf`	Building Dense Reflectance Maps of Indoor Environments Using an RGB-D Camera. IROS Michael Krawez, Tim Caselitz, Daniel Büscher, Mark Van Loock, Wolfram Burgard
2018	A*	`conf`	Whole-Body Sensory Concept for Compliant Mobile Robots. ICRA Marina Kollmitz, Daniel Büscher, Tobias Schubert, Wolfram Burgard