Abstract
Zheng, X.; Wang, X.; Luo, Z., and Guo, B., 2020. Camera imaging calibration optimization for stereo vision system of marine unmanned ship. In: Liu, X. and Zhao, L. (eds.), Today's Modern Coastal Society: Technical and Sociological Aspects of Coastal Research. Journal of Coastal Research, Special Issue No. 111, pp. 288–292. Coconut Creek (Florida), ISSN 0749-0208.As a depth perception technology, stereo vision is widely used in the intelligent operation of marine unmanned ships. Focusing on the camera imaging problem of the stereo vision system of marine unmanned ship, the causes of camera imaging distortion were analyzed and an improved adaptive genetic simulated annealing algorithm based on Sigmoid function is proposed to improve the accuracy of camera calibration. Experiments have shown that this method has higher accuracy and stronger robustness and can be used to optimize the stereo vision imaging system of marine unmanned ships.
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