Generalized LOAM: LiDAR Odometry Estimation With Trainable Local Geometric Features-Reference-Cited by-同舟云学术

Generalized LOAM: LiDAR Odometry Estimation With Trainable Local Geometric Features

Published:2022-10 Issue:4 Volume:7 Page:12459-12466
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Honda Kohei¹^ORCID,Koide Kenji²^ORCID,Yokozuka Masashi²^ORCID,Oishi Shuji²^ORCID,Banno Atsuhiko²

Affiliation:

1. Department of Mechanical Systems Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Aichi, Japan

2. Department of Information Technology and Human Factors, the National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan

Funder

Nagoya University

New Energy and Industrial Technology Development Organization

JSPS KAKENHI

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/ielx7/7083369/9831196/09935115.pdf?arnumber=9935115

Reference35 articles.

1. Optuna

2. Algorithms for hyper-parameter optimization;bergstra;Proc Adv Neural Inf Process Syst,0

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

4. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

5. Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments

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