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Publication search results
found 23 matches
- 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): 3546-3553 (2024) - 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: 2357-2372 (2024) - Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, Cyrill Stachniss:
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion. CoRR abs/2403.13470 (2024) - 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): 5180-5187 (2023) - 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): 1029-1036 (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: 7054-7061 - 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: 5838-5845 - 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 - 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 abs/2307.08314 (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 abs/2309.16435 (2023) - 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): 6107-6114 (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. IEEE Robotics Autom. Lett. 7(3): 7503-7510 (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): 8534-8541 (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 abs/2201.04501 (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 abs/2206.04129 (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 abs/2209.15397 (2022) - 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): 6529-6536 (2021) - Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRL 2021: 1444-1454 - 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: 8649-8656 - 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: 4888-4895 - 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 abs/2105.08971 (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 abs/2109.07365 (2021) - Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss:
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks. CoRR abs/2110.04076 (2021)
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