Automatic Labeling to Generate Training Data for Online LiDAR-based
Moving Object Segmentation

Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation

12 January 2022

Xieyuanli Chen

Benedikt Mersch

Rodrigo Marcuzzi

Papers citing "Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation"

5 / 5 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 27 1 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 20 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 39 13 0 30 Dec 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