LiTAMIN2: Ultra Light LiDAR-based SLAM using Geometric Approximation applied with KL-Divergence-Reference-Cited by-同舟云学术

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LiTAMIN2: Ultra Light LiDAR-based SLAM using Geometric Approximation applied with KL-Divergence

Published:2021-05-30 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Yokozuka Masashi,Koide Kenji,Oishi Shuji,Banno Atsuhiko

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09560947.pdf?arnumber=9560947

Cited by 62 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm;Sensors;2024-06-20

2. Balanced ICP for precise lidar odometry from non bilateral correspondences;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. 3D LiDAR SLAM: A survey;The Photogrammetric Record;2024-05-13

4. Multi-LIO: A Lightweight Multiple LiDAR-Inertial Odometry System;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. DMSA - Dense Multi Scan Adjustment for LiDAR Inertial Odometry and Global Optimization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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