Research on parking detection algorithm based on yolov8

Zhijia Li; HaiPing Wei

doi:10.1117/12.3004091

11 October 2023 Research on parking detection algorithm based on yolov8

Zhijia Li, HaiPing Wei

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280014 (2023) https://doi.org/10.1117/12.3004091
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

Parking space detection is an important part of an automatic parking system, and its detection performance determines the final parking effect. In this paper, a yolov8-based parking space detection algorithm is used, and the speed of detection is greatly improved because we propose an end-to-end network. The main research work is as follows: a yolov8 based instance segmentation model is used to process the image, the result of the instance segmentation is converted into a gray scale map and then feature contour points are extracted, and then a polygon fitting algorithm is used to correctly detect parking spaces in the map. The detection using this method is better, but the speed is reduced. The network structure was also modified and a new loss function was invoked to further improve the accuracy of the model.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhijia Li and HaiPing Wei "Research on parking detection algorithm based on yolov8", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280014 (11 October 2023); https://doi.org/10.1117/12.3004091

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