When underwater autonomous robots operate underwater, sonar technology plays an important role. Firstly, the problems active and passive sonar face when applied to underwater target detection and their solutions are introduced. Secondly, the multipath effect and Doppler effect caused by the transmission distance more significant than the water depth, underwater environmental noise, and the relative displacement of the transmitting and receiving nodes during the underwater sonar transmission are introduced, and the corresponding solutions are listed. Thirdly, the development and application of the two-stage detection RCNN series and single-stage detection YOLO series in object recognition are introduced. Finally, the advantages and disadvantages of the above methods are summarized and discussed as the future development direction prospects.
Vision technology plays an important role when AUVs (Autonomous Underwater Vehicles) operate underwater. In this paper, the three-dimensional mode of binocular stereo vision is constructed to complete the positioning of the target. This article then explains the problem of distorted underwater images and introduces a method to correct distorted images. Based on underwater physical imaging, the underwater image processing methods are divided into underwater image enhancement and underwater image restoration. The research status of the two ways is analyzed and reviewed. The advantages and disadvantages of the above methods are summarized and discussed, and the future development trend is predicted.
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