A method for indoor and outdoor collaborative localization and mapping based on multi-sensors unmanned platforms
Author:
Affiliation:
1. National University of Defense Technology,College of Information and Communication,Wuhan,Hubei,China,430019
2. 31401 Troops,Changchun,Jilin,130012
3. 31401 Troops,Heilongjiang,Harbin,150096
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10280767/10280775/10281084.pdf?arnumber=10281084
Reference13 articles.
1. Preface
2. MAVNet: An Effective Semantic Segmentation Micro-Network for MAV-Based Tasks
3. Vision-based Multi-MAV Localization with Anonymous Relative Measurements Using Coupled Probabilistic Data Association Filter
4. FAST-LIO2: Fast Direct LiDAR-Inertial Odometry
5. Collaborative localization of multiple AUVs based on factor graph and chi-square detection;yu;Journal of Data Acquisition & Processing,2021
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