Feature-Based Scanning LiDAR-Inertial Odometry Using Factor Graph Optimization
Author:
Affiliation:
1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
2. Massachusetts Institute of Technology, Cambridge, MA, USA
Funder
Jet Propulsion Laboratory
California Institute of Technology
National Aeronautics and Space Administration
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/ielx7/7083369/10102643/10100875.pdf?arnumber=10100875
Reference22 articles.
1. GTSAM 4.0;dellaert,2017
2. 3D Lidar-IMU Calibration Based on Upsampled Preintegrated Measurements for Motion Distortion Correction
3. Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping
4. IN2LAMA: INertial Lidar Localisation And MApping
5. SURF: Speeded Up Robust Features
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