Title
Autonomous Navigation for Adaptive Unmanned Underwater Vehicles Using Fiducial Markers
Abstract
This paper presents an integrated methodology and experimental validation of an autonomous framework for unmanned underwater vehicles (UUVs) merely equipped with a conventional monocular camera and a pressure sensor to accomplish high-performance autonomy. Optimal pose of the UUV is solved iteratively by Levenburg-Marquardt optimization for the Perspective-n-Point (PnP) problem. To guarantee a consistent localization system, a properly-tuned EKF with extra outlier removal approaches including applying Chi-square tests of innovations adequately removes measurement noises, meanwhile provides unknown navigation state estimations. A classic adaptive controller is developed to enable autonomous mobility. Real-time experiments are designed to demonstrate underwater autonomous performance with a miniature commercial UUV, BlueROV2 Heavy.
Year
DOI
Venue
2021
10.1109/ICRA48506.2021.9561419
2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021)
DocType
Volume
Issue
Conference
2021
1
ISSN
Citations 
PageRank 
1050-4729
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Juan Chen100.34
Caiming Sun204.06
Aidong Zhang32970405.63