August 15, 2025SensorsOpen Access

Intelligent Vehicle Target Detection Algorithm Based on Multiscale Features

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The improved YOLOv10 model achieves a detection accuracy mAP@0.5 of 93.0%, enhancing performance in autonomous driving tasks.
Measurement indicates an 11.8% reduction in model size, making it more efficient without sacrificing accuracy.
This method utilizes multi-scale flexible convolution to effectively capture diverse object features within the environment.
The overall enhancements signify a balance between detection performance and computational efficiency for intelligent vehicles.

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Optimizing object detection accuracy and model complexity in intelligent driving scenarios using YOLOv10.

Li et al. (2025) studied this question.

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