Daniel Büscher

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Indoor Environments

Joint Segmentation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties. IEEE Robotics Autom. Lett. 9 (8) (2024)
Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties. CoRR (2024)
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
Evaluation of a Smart Mobile Robotic System for Industrial Plant Inspection and Supervision. CoRR (2024)
Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard
Uncertainty-aware LiDAR Panoptic Segmentation. ICRA (2023)
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
A Smart Robotic System for Industrial Plant Supervision. CoRR (2023)
Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard
Uncertainty-Aware Panoptic Segmentation. IEEE Robotics Autom. Lett. 8 (5) (2023)
Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada
EfficientLPS: Efficient LiDAR Panoptic Segmentation. IEEE Trans. Robotics 38 (3) (2022)
Kürsat Petek, Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation. ICRA (2022)
Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard
Uncertainty-aware Panoptic Segmentation. CoRR (2022)
Shengchao Yan, Tim Welschehold, Daniel Büscher, Wolfram Burgard
Courteous Behavior of Automated Vehicles at Unsignalized Intersections Via Reinforcement Learning. IEEE Robotics Autom. Lett. 7 (1) (2022)
Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard
Uncertainty-aware LiDAR Panoptic Segmentation. CoRR (2022)
Kürsat Petek, Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation. CoRR (2021)
Shengchao Yan, Tim Welschehold, Daniel Büscher, Wolfram Burgard
Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning. CoRR (2021)
Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada
EfficientLPS: Efficient LiDAR Panoptic Segmentation. CoRR (2021)
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans. Robotics Auton. Syst. 136 (2021)
Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. IROS (2020)
Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. CoRR (2020)
Marina Kollmitz, Daniel Büscher, Wolfram Burgard
Predicting Obstacle Footprints from 2D Occupancy Maps by Learning from Physical Interactions. ICRA (2020)
Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. ICRA (2019)
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. ECMR (2019)
Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard
A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans. CoRR (2019)
Lukas Luft, Federico Boniardi, Alexander Schaefer, Daniel Büscher, Wolfram Burgard
On the Bayes Filter for Shared Autonomy. IEEE Robotics Autom. Lett. 4 (4) (2019)
Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. CoRR (2019)
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. CoRR (2019)
Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard
A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans. IROS (2018)
Marina Kollmitz, Daniel Büscher, Tobias Schubert, Wolfram Burgard
Whole-Body Sensory Concept for Compliant Mobile Robots. ICRA (2018)
Michael Krawez, Tim Caselitz, Daniel Büscher, Mark Van Loock, Wolfram Burgard
Building Dense Reflectance Maps of Indoor Environments Using an RGB-D Camera. IROS (2018)