Affiliation:
1. Harbin Engineering University
Abstract
A monocular vision measurement system was proposed based on the underwater robot, which used a single camera as visual sensor and used inertial navigation system to measure position and attitude. In this paper, the processing of underwater target images and the parameter calibration algorithm for visual measurement system were discussed, and then the visual measurement mathematic model of underwater robot was derived using the pose information of the inertial navigation system. Vision measuring principle validation tests for underwater robot have been carried out to detect underwater targets. The experiments verify that the monocular vision measurement algorithm proposed for underwater robot is effective with a preferably accuracy.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. M. Dunbabin, K. Usher, P. Corke. Visual Motion Estimation for an Autonomous Underwater Monitoring Robot. Filed and Service Robotics. Vol. 25(2006), p.31.
2. Bane, G, Ferguson, J. The Evolutionary Development of the Military Autonomous Underwater Vehicle. Fifth International Symposium on Unmanned Submersible Technology. (2000) , pp.3239-3243.
3. G.L. Foresti, S. Gentili. A Vision based System for Object Detection in underwater Images. International Journal of Pattern Recognition and Artificial Intelligence. Vol. 14, No. 2 (2000), pp.167-188.
4. Santos-Victor, J, Sentieiro, J. The Role of Vision for Underwater Vehicles. In: Autonomous Underwater Vehicle Technology. Cambridge, MA, USA, (1994), pp.28-38.
5. Tang Xudong, Pang Yongjie, Zhang He. Underwater Pipeline Detections by AUV Based on Monocular Vision. Robot. Vol. 32(2010),P. 592. (In Chinese).
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