MAD-ICP: It Is All About Matching Data -- Robust and Informed LiDAR Odometry

9 May 2024

Papers citing "MAD-ICP: It Is All About Matching Data -- Robust and Informed LiDAR Odometry"

6 / 6 papers shown

Title
LP-ICP: General Localizability-Aware Point Cloud Registration for Robust Localization in Extreme Unstructured Environments Haosong Yue Qingyuan Xu Fei Chen Jia Pan Weihai Chen 3DPC 29 0 0 10 Jan 2025
ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps Haiming Gao Qibo Qiu Hongyan Liu Dingkun Liang Chaoqun Wang Xuebo Zhang 71 0 0 23 Sep 2024
KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way Ignacio Vizzo Tiziano Guadagnino Benedikt Mersch Louis Wiesmann Jens Behley C. Stachniss 3DPC 77 257 0 30 Sep 2022
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds Kenny Chen B. Lopez Ali-akbar Agha-mohammadi Ankur M. Mehta 51 130 0 01 Oct 2021
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth Milad Ramezani Yiduo Wang Marco Camurri David Wisth Matías Mattamala Maurice F. Fallon 3DV 68 185 0 12 Mar 2020
Redesigning SLAM for Arbitrary Multi-Camera Systems Juichung Kuo Manasi Muglikar Zichao Zhang Davide Scaramuzza 27 41 0 04 Mar 2020