Benedikt Mersch

PhD Student

Contact:
Email: mersch@nulligg.uni-bonn.de
Tel: +49 – 228 – 73 – 27 11
Fax: +49 – 228 – 73 – 27 12
Office: Nussallee 15, 1. OG, room 1.012

Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn

Profiles: Google Scholar | Github

Research Interests

SLAM
LiDAR Moving Object Segmentation
Behavior Estimation

Short CV

Benedikt Mersch is a Ph.D. student at the Photogrammetry & Robotics Lab at the University of Bonn since July 2020. He received his master’s degree in Electrical Engineering at the Hamburg University of Technology in December 2019.

Teaching

Techniques for Self-Driving Cars, 2023/2024
Techniques for Self-Driving Cars, 2022/2023
Techniques for Self-Driving Cars, 2021/2022
Mobile Sensing and Robotics Project, 2020/2021
Techniques for Self-Driving Cars, 2020/2021

Code releases

MapMOS: Map-based LiDAR moving object segmentation
Star Fork Watch
KISS-ICP: A LiDAR odometry pipeline that just works
Star Fork Watch
4DMOS: A sparse CNN on 4D point clouds for LiDAR moving object segmentation
Star Fork Watch
point-cloud-prediction: Self-supervised point cloud prediction
Star Fork Watch
LiDAR-MOS – Moving object segmentation in 3D LiDAR data
Star Fork Watch

Publications

2024

L. Nunes, R. Marcuzzi, B. Mersch, J. Behley, and C. Stachniss, “Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion,” in Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024.
[BibTeX] [PDF] [Code]

@inproceedings{nunes2024cvpr,
author = {L. Nunes and R. Marcuzzi and B. Mersch and J. Behley and C. Stachniss},
title = {{Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion}},
booktitle = cvpr,
year = 2024,
codeurl = {https://github.com/PRBonn/LiDiff},
}