HPPLO-Net: Unsupervised LiDAR Odometry Using a Hierarchical Point-to-Plane Solver
Author:
Affiliation:
1. Nanjing University of Science and Technology, Nanjing, Jiangsu, China
2. State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), Department of Electromechanical Engineering (EME), University of Macau, Macau, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/7448921/10160144.pdf?arnumber=10160144
Cited by 3 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. 3D LiDAR SLAM: A survey;The Photogrammetric Record;2024-05-13
2. Geometric Constraints and Rough-Fine Registration-Based Localization Method For Social Intelligent Transportation Systems;IEEE Transactions on Computational Social Systems;2024
3. IGICP: Intensity and Geometry Enhanced LiDAR Odometry;IEEE Transactions on Intelligent Vehicles;2023
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