CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-Agent Based Visual-Inertial SLAM
Author:
Affiliation:
1. School of Software Engineering, Tongji University, Shanghai, China
2. Department of Computer and Information Science, University of Macau, Macau, China
Funder
National Key Research and Development Project
National Natural Science Foundation of China
Shanghai Science and Technology Innovation Plan
Shuguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9626658/09919619.pdf?arnumber=9919619
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2. Deep Compressed Communication and Application in Multi-Robot 2D-Lidar SLAM: An Intelligent Huffman Algorithm;Sensors;2024-05-16
3. Range-Aided LiDAR Cooperative Localization and Mapping;IEEE Sensors Journal;2024-05-01
4. Obstacle detection visual slam on improved YOLOv7 for complex environment;Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering;2024-01-26
5. Edge-Assisted Multi-Robot Visual-Inertial SLAM With Efficient Communication;IEEE Transactions on Automation Science and Engineering;2024
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