Detection and Recognition of the Underwater Object with Designated Features Using the Technical Stereo Vision System

Author:

Kramar Vadim1ORCID,Kabanov Aleksey1ORCID,Kramar Oleg1,Fateev Sergey1,Karapetian Valerii1

Affiliation:

1. Department of Informatics and Control in Technical Systems, Sevastopol State University, 299053 Sevastopol, Russia

Abstract

The article discusses approaches to solving the problems of detecting, recognizing, and localizing an object with given distinctive features in an aquatic environment using a technical stereo vision system, taking into account restrictions. The stereo vision system is being developed as part of the task in which the AUV, for the purpose of conducting a monitoring mission, follows from the starting point of its route along a given trajectory in order to detect and classify an object with known characteristics and determine its coordinates using a technical stereo vision system at a distance up to 5 m from it with appropriate water clarity. The developed program for the system of the technical stereo vision should provide the AUV with the following information: video sequence; a frame with an image of the detected object; previously unknown characteristics of the object if it is possible to detect them (color, size or shape); distance to the object from the technical stereo vision system; and linear coordinates relative to the technical stereo vision system. Testing of the developed software was carried out on the operating module of the stereo vision installed on the AUV in the underbody compartment. The study was carried out in the pool and in open water. The experiments performed have shown the effectiveness of the developed system when used in conjunction with an underwater robot.

Funder

Russian Science Foundation

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference20 articles.

1. Pedro, J.S., Pere, R., Gabriel, O., Giuseppe, C., Yvan, P., Carlos, S., and Claudio, M. (2013, January 23–27). Alessio Turetta TRIDENT: An European Project Targeted to Increase the Autonomy Levels for Underwater Intervention Missions. Proceedings of the 2013 OCEANS, San Diego, CA, USA.

2. Drap, P., Seinturier, J., and Scaradozzi, D. (2007, January 1–6). Photogrammetry for virtual exploration of underwater archeological sites. Proceedings of the 21st International Symposium, CIPA 2007: AntiCIPAting the Future of the Cultural Past, Athens, Greece.

3. Casalino, G., Caccia, M., Caiti, A., Antonelli, G., Indiveri, G., Melchiorri, C., and Caselli, S. (2014, January 16–19). MARIS: A National Project on Marine Robotics for Interventions. Proceedings of the 2014 22nd Mediterranean Conference on Control and Automation University of Palermo, Palermo, Italy.

4. Kabanov, A., Kramar, V., and Ermakov, I. (2021). Design and modeling of an experimental rov with six degrees of freedom. Drones, 5.

5. Bazeille, S., Quidu, I., Jaulin, L., and Malkasse, J.P. (2006, January 16–19). Automatic underwater image pre-processing. Proceedings of the CMM’06, Brest, France.

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