Robot Localization and Reconstruction based on 3D Point Cloud
Author:
Affiliation:
1. South China University of Technology,School of Mechanical & Automotive Engineering,Guangzhou,China
2. South China University of Technology,School of Computer Science & Engineering,Guangzhou,China
Funder
Science and Technology Planning Project of Guangdong Province
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10309296/10309265/10309593.pdf?arnumber=10309593
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2. LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
3. Vision based vehicle relocalization in 3D line-feature map using Perspective-n-Line with a known vertical direction
4. Fast-lio2: Fast direct lidarinertial odometry;xu;IEEE Transactions on Robotics and Automation A publication of the IEEE Robotics and Automation Society,2022
5. iSAM2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering
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