RSS: Robust Stereo SLAM With Novel Extraction and Full Exploitation of Plane Features-Reference-Cited by-同舟云学术

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RSS: Robust Stereo SLAM With Novel Extraction and Full Exploitation of Plane Features

Published:2024-06 Issue:6 Volume:9 Page:5158-5165
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Wang Haolin¹^ORCID,Wei Hao¹^ORCID,Xu Zewen¹^ORCID,Lv Zeren²^ORCID,Zhang Pengju¹^ORCID,An Ning³^ORCID,Tang Fulin¹^ORCID,Wu Yihong¹^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

3. Research Institute of Mine Big Data, China Coal Research Institute, Beijing, China

Funder

National Natural Science Foundation of China

SINOPEC Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10504377/10500826.pdf?arnumber=10500826

Reference28 articles.

1. Stereo Plane SLAM Based on Intersecting Lines

2. Monocular Visual-Inertial Odometry with Planar Regularities

3. Leveraging Planar Regularities for Point Line Visual-Inertial Odometry

4. Planeslam: Plane-based LiDAR SLAM for motion planning in structured 3D environments;Dai,2022

5. Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras

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