The implementation of surface vessels as autonomous mechanisms includes the development of a control algorithm, including the tracking approach for positioning the surface in real-time. To solve this problem, digital process imagery methods can be considered according to the principal aims required. Therefore, this paper develops a practical and theoretical implementation of a computer vision algorithm for a surface vessel positioning implemented in a test rig based on a laboratory pool.

Рамос Альмеида Ф. (науч. рук. Шаветов С.В.) Design of a Computer Vision Algorithm for a Surface Vessel Position Detecting in a Laboratory Pool // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2022]. URL: https://kmu.itmo.ru/digests/article/9307