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September 5, 2025Scientific ReportsOpen Access

Object detection model of vehicle-road cooperative autonomous driving based on improved YOLO11 algorithm

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An enhanced object detection algorithm shows improved accuracy in autonomous driving scenarios, addressing occlusion issues.

The improved algorithm achieves increased detection accuracy, reaching Precision of 85.7% and Recall of 79.4%.
Key metrics such as mAP@0.5 and mAP@0.5–95 improved by 4.0% and 2.8% over the baseline model, demonstrating its effectiveness.
Incorporation of the Diffusion Focusing Pyramid Network strengthens feature extraction for small targets in complex environments.
A Lightweight Shared Convolutional Detection Head minimizes model parameters while meeting performance requirements.

Liang et al. (2025) studied this question.

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