An innovative, data-driven Traffic Operational Risk (TOR) assessment framework that integrates unsupervised deep learning with extreme-value statistics to achieve continuous, proactive risk monitoring, providing a mathematically rigorous paradigm for precision-guided highway safety management.
Wei Huang, Sen Luan, Zhong-Bin Luo et al.· Mathematics· 0 citations
A block compression strategy is proposed, which divides large-size images into sub-blocks of 256 × 256 pixels for independent compression, and realizes complete image reconstruction through decompression and splicing technology in order to meet the processing requirements of high-resolution satellite images.
This study proposes an optimized YOLOv8-based detection paradigm that decouples multi-scale feature enhancement from dynamic focused bounding box regression, and maintains a real-time inference speed of 86 FPS on an NVIDIA RTX 3090 GPU, far exceeding the 30 FPS threshold for real-time traffic monitoring.
Wei Huang, Heyang Xu, Hao Bai et al.· Italian National Conference...· 0 citations
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