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    Complexity Quantification of Driving Scenarios with Dynamic Evolution Characteristics by Tianyue Liu, Cong Wang, Ziqiao Yin, Zhilong Mi, Xiya Xiong, Binghui Guo

    Published 2024-11-01
    “…This paper proposes the Dynamic Scenario Complexity Quantification (DSCQ) method for autonomous driving, which integrates the effects of the environment, road conditions, and dynamic entities in traffic on complexity. …”
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    Pavement Potholes Quantification: A Study Based on 3D Point Cloud Analysis by Qingzhen Sun, Lei Qiao, Yibo Shen

    Published 2025-01-01
    “…Therefore, this pa per proposes a method based on three-dimensional point clouds for the identification, segmentation, and reconstruction of road potholes, ultimately leading to the quantification of the damage volume. …”
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    Quantification Method of Driving Risks for Networked Autonomous Vehicles Based on Molecular Potential Fields by Yicheng Chen, Dayi Qu, Tao Wang, Shanning Cui, Dedong Shao

    Published 2025-01-01
    “…Connected autonomous vehicles (CAVs) face constraints from multiple traffic elements, such as the vehicle, road, and environmental factors. Accurately quantifying the vehicle’s operational status and driving risk level in complex traffic scenarios is crucial for enhancing the efficiency and safety of connected autonomous driving. …”
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