Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D
Convolutions

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions

8 June 2022

Benedikt Mersch

Xieyuanli Chen

Papers citing "Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions"

7 / 7 papers shown

Title
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation Xingguang Zhong Yue Pan C. Stachniss Jens Behley 3DPC 42 6 0 06 May 2024
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation Changsong Pang Xieyuanli Chen Yimin Liu Huimin Lu Yuwei Cheng 32 2 0 22 Feb 2024
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation Benedikt Mersch Tiziano Guadagnino Xieyuanli Chen Ignacio Vizzo Jens Behley C. Stachniss 3DPC 27 31 0 17 Jul 2023
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series T. Kreutz M. Mühlhäuser Alejandro Sánchez Guinea 44 13 0 30 Dec 2022
Domain generalization of 3D semantic segmentation in autonomous driving Jules Sanchez Jean-Emmanuel Deschaud F. Goulette 3DPC 16 24 0 07 Dec 2022
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Hehe Fan Xin Yu Yuhang Ding Yi Yang Mohan S. Kankanhalli 3DPC 121 109 0 27 May 2022
Weakly Supervised Learning of Rigid 3D Scene Flow Zan Gojcic Or Litany A. Wieser Leonidas J. Guibas Tolga Birdal 3DPC 114 91 0 17 Feb 2021