Sea animal detection method for AUV with multi-beam sonar: -Sea turtle detection test in tank environment-

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)(2018)

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Abstract
For sea animal tracking survey, sensor-tag attaching method like bio-logging is widely used. As a new sea animal tracking strategy, we are developing the method which doesn't need to attach sensor-tag to animal by using AUV(Autonomous Underwater Vehicle) with multi-beam sonar. As the first step of animal tracking, we propose applying the YOLOv2[5], CNN-based object detection method, for sonar image to detect the animal and its position. To evaluate this method, we collected sea turtle data in a tank of Aqua World Ibaraki Prefectural Oarai Aquarium. After that, we labeled 541 sea turtle sonar images with bounding box. Fine-tuning with weights pre-trained on optical image dataset was used for training. Finally, this method could successfully detect the sea turtle in test dataset.
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Key words
auv,sea,detection,multi-beam
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