Fast and Versatile Feature-Based LiDAR Odometry via Efficient Local Quadratic Surface Approximation-Reference-Cited by-同舟云学术

Fast and Versatile Feature-Based LiDAR Odometry via Efficient Local Quadratic Surface Approximation

Published:2023-02 Issue:2 Volume:8 Page:640-647
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Choi Seungwon¹^ORCID,Chae Hee-Won²^ORCID,Jeung Yunsuk²^ORCID,Kim Seokjoon²^ORCID,Cho Kyusung²^ORCID,Kim Tae-wan¹^ORCID

Affiliation:

1. Department of Naval Architecture and Ocean Engineering, Seoul National University (SNU), Seoul, Republic of Korea

2. SLAM Team, MAXST, Seoul, Republic of Korea

Funder

Industrial Strategic Technology Development Program- Electronic System Industrial Technology Development Project

Ministry of Trade, Industry & Energy (MOTIE), Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9990971/09976224.pdf?arnumber=9976224

Reference23 articles.

1. Multi-camera LiDAR inertial extension to the newer college dataset;zhang,2021

2. The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth

3. A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry

4. Robust registration of 2D and 3D point sets

5. Efficient variants of the ICP algorithm

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