Research on intelligent vehicle object detection algorithm based on DC-YOLOv8s

Changbao Wen; Yutian Qi

doi:10.1117/12.3023900

9 April 2024 Research on intelligent vehicle object detection algorithm based on DC-YOLOv8s

Changbao Wen, Yutian Qi

Proceedings Volume 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023); 129890X (2024) https://doi.org/10.1117/12.3023900
Event: Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 2023, Xi'an, China

Abstract

Aiming at the shortcomings of current mainstream detection algorithms in intelligent vehicle environment awareness, a design scheme of intelligent vehicle object detection system based on DC-YOLOv8s (Deformable Convolution-You Only Look Once version 8s) is proposed. The intelligent vehicle object detection system based on DC-YOLOv8s is composed of the preprocessing module, the feature extraction module, the feature fusion module and detection module. The preprocessing module performs geometric transformation and data enhancement on the input image. The feature extraction module is used to extract the feature information of the image to be detected. The function of the feature fusion module is to fuse low-level features with high-level features, and the detection module predicts the category and location of the detection target according to the output of the feature fusion module. By means of experiments, the feasibility of intelligent vehicle object detection system based on DC-YOLOv8s is verified. Through the analysis of experimental results, the detection system can give full play to the robustness of deformable convolution and the effectiveness of ICIoUL (Improved Complete Intersection of Union Loss) for improving positioning accuracy. Experimental results show that our system's object detection accuracy can reach 94.6%. Compared with the YOLOv8s model, the Precision is increased by 7.4%, the Recall is increased by 6.9%, and the mAP@0.5 is increased by 6.5%.

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

Citation Download Citation

Changbao Wen and Yutian Qi "Research on intelligent vehicle object detection algorithm based on DC-YOLOv8s", Proc. SPIE 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 129890X (9 April 2024); https://doi.org/10.1117/12.3023900

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KEYWORDS

Object detection

Convolution

Feature extraction

Detection and tracking algorithms

Deformation

Target detection

Education and training

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