Authors A. V. Inzartsev, A. M. Pavin, G. D. Eliseenko, M. A. Panin
Month, Year 01, 2018 @en
Index UDC 004.896+629.58+001.891.57
Abstract Autonomous underwater vehicles (AUV) with side-scan sonars (SSS) and photosystems, could be used for automated detection and exploration of local bottom objects. SSS permits effectively recognize bottom objects at significant distance, whereas photosystem is frequently using for detailed documentation of state of some objects at near area. Under these circumstances for solving a monitoring problem it is possible to use different scenarios of using both individual AUV, which performs cyclically stages sss-detection and photo documentation, and group of specialized AUVs which perform these actions simultaneously (in parallel mode). Detection at acoustic images of selected objects in real time is performing by algorithms which include building gradient map, detection of boundaries of objects and objects detection with clustering procedures. Then algorithms select objects which correspond to specified characteristics and detect their coordinates. Detected coordinates are used for displacement of AUV to detected object and photo coverage. The work deals with model solution of monitoring problem. It includes algorithm research of objects recognition and AUV control both for individual and group using. Experiments were made with integrated control and modeling AUV system created at IMTP FEB RAS. It allows debugging and using developed program modules directly in control systems environments of active AUVs. Experimental results confirming the usefulness of developed algorithms for real works are discussed.

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Keywords Autonomous underwater vehicle; automated monitoring of water areas; side sonar scan images; sss-images; detection and recognition of objects at images; mission planning; modeling complex.
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