Author:
Azhmukhamedov I M,Tamkov P I,Svishchev N D,Rybakov A V
Abstract
Abstract
The work processes of the ORB-SLAM algorithm are presented. The results of experimental studies on temporal comparisons of the operation of the algorithm with different parameters and cameras are presented. The necessity of forming a visual odometry (VO) system as a local navigation of remote-controlled and autonomous underwater robots has been substantiated. The two most suitable odometry methods in the underwater environment are described, such as their advantages and disadvantages. The work processes of the ORB-SLAM algorithm are presented. The results of experimental studies on temporal comparisons of the operation of the algorithm with different parameters and cameras are presented. The procedure for preparing video data is described: processing a video stream, adjusting camera parameters for calibration. The experiments represent the testing of the ORB-SLAM3 algorithm on a sample of video filmed as part of the ecological monitoring of the Caspian shelf in 2020.
Subject
General Physics and Astronomy
Reference31 articles.
1. ORB-SLAM: a Versatile and Accurate Monocular SLAM System;Mur-Artal;IEEE Transactions on Robotics,2015
2. ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras;Mur-Artal;IEEE Transactions on Robotics,2017
3. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM;Campos,2021
4. A Generic Camera Model and Calibration Method for Conventional, Wide-Angle, and Fish-Eye Lenses;Kannala;IEEE Transactions on Pattern Analysis and Machine Intelligence,2006
5. mdBRIEF - a fast online-adaptable, distorted binary descriptor for real-time applications using calibrated wide-angle or fisheye cameras;Urban;Computer Vision and Image Understanding,2017