Benedikt Mersch

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 24

Top Topics

Outdoor Environments

Diffusion Models

Top Venues

IEEE Robotics Autom. Lett.

Publications

Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds. IEEE Trans. Robotics 40 (2024)
Saurabh Gupta, Tiziano Guadagnino, Benedikt Mersch, Ignacio Vizzo, Cyrill Stachniss
Effectively Detecting Loop Closures using Point Cloud Density Maps. ICRA (2024)
Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CoRR (2024)
Ibrahim Hroob, Benedikt Mersch, Cyrill Stachniss, Marc Hanheide
Generalizable Stable Points Segmentation for 3D LiDAR Scan-to-Map Long-Term Localization. IEEE Robotics Autom. Lett. 9 (4) (2024)
Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, Jens Behley, Cyrill Stachniss
KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way. IEEE Robotics Autom. Lett. 8 (2) (2023)
Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds. CoRR (2023)
Hyungtae Lim, Lucas Nunes, Benedikt Mersch, Xieyuanli Chen, Jens Behley, Hyun Myung, Cyrill Stachniss
ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes. Robotics: Science and Systems (2023)
Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds. ICRA (2023)
Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen, Ignacio Vizzo, Jens Behley, Cyrill Stachniss
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation. IEEE Robotics Autom. Lett. 8 (8) (2023)
Benedikt Mersch, Tiziano Guadagnino, Xieyuanli Chen, Ignacio Vizzo, Jens Behley, Cyrill Stachniss
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation. CoRR (2023)
Ignacio Vizzo, Benedikt Mersch, Lucas Nunes, Louis Wiesmann, Tiziano Guadagnino, Cyrill Stachniss
Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition. ITSC (2023)
Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. IEEE Robotics Autom. Lett. 7 (3) (2022)
Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss
Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation. CoRR (2022)
Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, Jens Behley, Cyrill Stachniss
KISS-ICP: In Defense of Point-to-Point ICP - Simple, Accurate, and Robust Registration If Done the Right Way. CoRR (2022)
Benedikt Mersch, Xieyuanli Chen, Ignacio Vizzo, Lucas Nunes, Jens Behley, Cyrill Stachniss
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions. CoRR (2022)
Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss
Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation. IEEE Robotics Autom. Lett. 7 (3) (2022)
Ignacio Vizzo, Benedikt Mersch, Rodrigo Marcuzzi, Louis Wiesmann, Jens Behley, Cyrill Stachniss
Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments. IEEE Robotics Autom. Lett. 7 (3) (2022)
Daniel-André Duecker, Benedikt Mersch, Rene C. Hochdahl, Edwin Kreuzer
Embedded Stochastic Field Exploration with Micro Diving Agents using Bayesian Optimization-Guided Tree-Search and GMRFs. IROS (2021)
Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss
Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data. IEEE Robotics Autom. Lett. 6 (4) (2021)
Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. CoRR (2021)
Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. IROS (2021)
Xieyuanli Chen, Shijie Li, Benedikt Mersch, Louis Wiesmann, Jürgen Gall, Jens Behley, Cyrill Stachniss
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data. CoRR (2021)
Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRR (2021)
Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRL (2021)