RDMNet: Reliable Dense Matching Based Point Cloud Registration for
Autonomous Driving

RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving

31 March 2023

Xieyuanli Chen

Papers citing "RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving"

6 / 6 papers shown

Title
RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning Sha Lu Xuecheng Xu Yuxuan Wu Haojian Lu Xieyuanli Chen R. Xiong Yue Wang 38 2 0 30 Aug 2024
Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data Kai Luan Chenghao Shi Neng Wang Yuwei Cheng Huimin Lu Xieyuanli Chen 38 5 0 09 Apr 2024
Fast and Accurate Deep Loop Closing and Relocalization for Reliable LiDAR SLAM Chenghao Shi Xieyuanli Chen Junhao Xiao Bin Dai Huimin Lu 29 9 0 15 Sep 2023
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences Xiaoshui Huang Guofeng Mei Jian Andrew Zhang 3DPC 65 245 0 03 May 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features Xuyang Bai Zixin Luo Lei Zhou Hongbo Fu Long Quan Chiew-Lan Tai 3DPC 36 385 0 06 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016