Son-cheol Yu, Tae-Won Kim, G. Marani, Song K. Choi
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Real-Time 3D Sonar Image Recognition for Underwater Vehicles
The recognition of objects and environment are one of keys to automate underwater tasks. This paper presents a predictor based image recognition method using high-resolution sonar images. They are very sensitive to sonar's view point changes. The proposed predictor predicts an object images depending on the view point. Using the object model, it modifies a template for optimal recognition. To estimate the accuracy and reliability of the proposed method, indoor tank tests were carried out using various shapes of objects.