EMS-SLAM: Edge-Assisted Multi-Agent System Simultaneous Localization and Mapping
Author:
Affiliation:
1. Southern University of Science and Technology,Institue of Future Networks,Shenzhen,China
2. Peng Cheng Laboratory,Department of Broadband Communication,Shenzhen,China
3. Dublin City University,School of Electronic Engineering,Dublin,Ireland
Funder
Research and Development
National Natural Science Foundation of China
Innovation Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199114/10199145/10201031.pdf?arnumber=10201031
Reference20 articles.
1. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM
2. ORB-SLAM: A Versatile and Accurate Monocular SLAM System
3. CCM‐SLAM: Robust and efficient centralized collaborative monocular simultaneous localization and mapping for robotic teams
4. Present and future of slam in extreme underground environments;ebadi,2022
5. A benchmark for the evaluation of RGB-D SLAM systems
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