Recognition and Depth Estimation of Ships Based on Binocular Stereo Vision

• Published in: Journal of marine science and engineering Vol. 10; no. 8; p. 1153
• Main Authors: Zheng, Yuanzhou, Liu, Peng, Qian, Long, Qin, Shiquan, Liu, Xinyu, Ma, Yong, Cheng, Ganjun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2022
• Subjects: Accuracy; Algorithms; binocular stereo vision; Binocular vision; Calibration; Cameras; Computation; Computer applications; Computer networks; Coordinate transformations; Depth; Depth perception; Detection; Environmental perception; Feature extraction; FSRCNN; Image processing; Image reconstruction; Interdisciplinary subjects; MobileNetV1-YOLOv4; Navigation; Navigation safety; ORB; Parallax; Perception; Rivers; Shipping industry; Ships; Target recognition; Traffic accidents & safety; Water depth; Water transportation

To improve the navigation safety of inland river ships and enrich the methods of environmental perception, this paper studies the recognition and depth estimation of inland river ships based on binocular stereo vision (BSV). In the stage of ship recognition, considering the computational pressure br...