Research on collision detection between objects based on binocular vision

Meiqi Wang; Nannan Zhang; PeiFeng Hao

doi:10.1117/12.2674649

23 May 2023 Research on collision detection between objects based on binocular vision

Meiqi Wang, Nannan Zhang, PeiFeng Hao

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 1260433 (2023) https://doi.org/10.1117/12.2674649
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

With the increasing number of monitoring equipment, it is necessary to study whether there is a collision between objects in the image. In this paper, taking the monitoring of whether the transmission wire and the plastic bag collide as an example, aiming at the shortage of collision between objects in the image, especially the inaccurate detection results and long calculation time, we propose a collision detection algorithm. Firstly, detect the target wire and plastic bag in the picture, and judge whether there is a coincidence between the wire and plastic bag in two-dimensional space. If there are no overlapping spots in two dimensions, there is no collision between the wire and plastic bag. On the contrary, measure the position coordinate information in its three-dimensional coordinate system by binocular vision digital measurement method, and surround the wire and plastic bag by bounding boxes respectively. Finally, judge whether there is collision between them by calculation. Compared with the collision detection algorithm based on two-dimensional space, the accuracy of detection is improved. Compared with the complete use of binocular distance measurement for collision detection, the detection speed is significantly improved and the detection efficiency is effectively improved.

Citation Download Citation

Meiqi Wang, Nannan Zhang, and PeiFeng Hao "Research on collision detection between objects based on binocular vision", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 1260433 (23 May 2023); https://doi.org/10.1117/12.2674649

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KEYWORDS

Cameras

Plastics

Detection and tracking algorithms

Target detection

Education and training

3D acquisition

Binocular vision

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