Obstacle detection system based on light markers grid deformation

Daniil O. Verkhovtsev; Yaroslav V. Popinako; Mikhail S. Nikitenko; Danila Yu. Khudonogov; Sergey A. Kizilov

doi:10.1117/12.3025062

20 February 2024 Obstacle detection system based on light markers grid deformation

Daniil O. Verkhovtsev, Yaroslav V. Popinako, Mikhail S. Nikitenko, Danila Yu. Khudonogov, Sergey A. Kizilov

Proceedings Volume 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023); 130650S (2024) https://doi.org/10.1117/12.3025062
Event: Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 2023, Dushanbe, Tajikistan

Abstract

The article considers autonomous vehicle control system using obstacle detection method based on machine vision using light markers on motion path. The data gaining method for optimization and calculating image is proposed. The specific feature of realizing the aim is light markers grid deformation consideration. The software realization of obstacle detection based on light markers grid geometric deformation is demonstrated.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Daniil O. Verkhovtsev, Yaroslav V. Popinako, Mikhail S. Nikitenko, Danila Yu. Khudonogov, and Sergey A. Kizilov "Obstacle detection system based on light markers grid deformation", Proc. SPIE 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 130650S (20 February 2024); https://doi.org/10.1117/12.3025062

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