CR-LDSO: Direct Sparse LiDAR-Assisted Visual Odometry With Cloud Reusing
Author:
Affiliation:
1. Institute of Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China
2. Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China
Funder
National Natural Science Foundation of China
Applied Fundamental Research of Wuhan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10016790/10071952.pdf?arnumber=10071952
Reference29 articles.
1. A real-time method for depth enhanced visual odometry
2. LIMO: Lidar-Monocular Visual Odometry
3. Lidar-Monocular Visual Odometry using Point and Line Features
4. DVL-SLAM: sparse depth enhanced direct visual-LiDAR SLAM
5. RGB-D DSO: Direct Sparse Odometry with RGB-D Cameras for Indoor Scenes
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1. FD-SLAM: A Semantic SLAM Based on Enhanced Fast-SCNN Dynamic Region Detection and DeepFillv2-Driven Background Inpainting;IEEE Access;2023
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