Martin Büchner

	PhD Student
	Postal address:	Albert-Ludwigs-Universität Freiburg Technische Fakultät Robot Learning Lab Georges-Köhler-Allee 080 D-79110 Freiburg i. Br., Germany
	Office:	080-00-022
	Email:	buechner@cs.uni-freiburg.de

About me

10/21 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
10/18 - 04/21: Scholarship Student, BMW Autonomous Driving, Munich
10/18 - 09/21: M.Sc. in Robotics, Cognition, Intelligence, Technical University of Munich (TUM)
08/19 - 12/19: Visiting Intern, Lab for Autonomous Robotics Research, Seoul National University (SNU), Korea
09/16 - 06/17: Exchange Student in Mechanical Engineering, Purdue University, USA
10/14 - 09/18: B.Sc. in Mechanical Engineering, Karlsruhe Institute of Technology (KIT)

Research Interests

Learning on Graph Structures
Scene Graphs, Manipulation, Rearrangement
State Estimation for Robotics

Teaching

TA, FreiCAR: Practical Autonomous Driving, Winter Term 2022
TA, Seminar: Learning with Limited Supervision Summer Term 2022
TA, FreiCAR: Practical Autonomous Driving, Summer term 2022

Students

Elias Greve: Collaborative Panoptic Mapping (Oct 22)
Amrutha Venkatesan: 3D Multi-Agent Multi-Object Tracking (May 22)

Publications

Martin Büchner*, Jannik Zürn*, Ion-George Todoran, Abhinav Valada, Wolfram Burgard
Learning and Aggregating Lane Graphs for Urban Automated Driving
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.
Download Website BibTeX

@article{buchner2023learning,
  title={Learning and Aggregating Lane Graphs for Urban Automated Driving},
  author={B{\"u}chner, Martin and Z{\"u}rn, Jannik and Todoran, Ion-George and Valada, Abhinav and Burgard, Wolfram},
  journal={arXiv preprint arXiv:2302.06175},
  year={2023}
}

Martin Büchner, Abhinav Valada
3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention
IEEE Robotics and Automation Letters (RA-L), 2022 + IROS.
Download Website Video BibTeX

@article{buechner22batch3dmot,
	  title={3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention},
	  author={B{\"u}chner, Martin and Valada, Abhinav},
	  journal={arXiv preprint arXiv:2203.10926},
	  year={2022}
}

Ana Petrovska, Malte Neuss, Sebastian Bergemann, Martin Buechner, M. Ansab Shohab,
Smart Self-Adaptive Cyber-Physical Systems: How can Exploration and Learning Improve Performance in a Partially Observable Multi-Agent Context?
ADAPTIVE 2021: The Thirteenth International Conference on Adaptive and Self-Adaptive Systems and Applications, 2021.
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