Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

24 April 2023

Papers citing "Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection"

5 / 5 papers shown

Title
Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels Qiming Xia Wenkai Lin Haoen Xiang Xun Huang Siheng Chen Z. Dong Cheng-Yu Wang Chenglu Wen 3DPC OffRL 79 0 0 11 Mar 2025
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud Mohamed Nagy N. Werghi Bilal Hassan Jorge Dias Majid Khonji VOT 59 2 0 19 May 2024
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection Shaoshuai Shi Li Jiang Jiajun Deng Zhe Wang Chaoxu Guo Jianping Shi Xiaogang Wang Hongsheng Li 3DPC 135 400 0 31 Jan 2021
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds Binh Yang Min Bai Ming Liang Wenyuan Zeng R. Urtasun 3DPC 110 48 0 17 Jan 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016