Daniel Büscher

Orcid: 0000-0001-9321-3029

Affiliations:

University of Freiburg, Department of Computer Science, Germany

According to our database¹, Daniel Büscher authored at least 17 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties.

[BibT_eX]

[DOI]

Kshitij Sirohi

Daniel Büscher

Wolfram Burgard

IEEE Robotics Autom. Lett., August, 2024

Evaluation of a Smart Mobile Robotic System for Industrial Plant Inspection and Supervision.

[BibT_eX]

[DOI]

Georg K. J. Fischer

Max Bergau

D. Adriana Gómez-Rosal

CoRR, 2024

2023

Uncertainty-Aware Panoptic Segmentation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., May, 2023

A Smart Robotic System for Industrial Plant Supervision.

[BibT_eX]

[DOI]

D. Adriana Gómez-Rosal

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

Uncertainty-aware LiDAR Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

EfficientLPS: Efficient LiDAR Panoptic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2022

Courteous Behavior of Automated Vehicles at Unsignalized Intersections Via Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2021

2020

Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Predicting Obstacle Footprints from 2D Occupancy Maps by Learning from Physical Interactions.

[BibT_eX]

[DOI]

Marina Kollmitz

Daniel Büscher

Wolfram Burgard

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

On the Bayes Filter for Shared Autonomy.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans.

[BibT_eX]

[DOI]

Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018

A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Building Dense Reflectance Maps of Indoor Environments Using an RGB-D Camera.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Whole-Body Sensory Concept for Compliant Mobile Robots.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Daniel Büscher

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