This study introduces a cutting-edge zebra crossing warning system designed to enhance pedestrian safety and regulate crosswalk traffic through advanced sensing technologies and intelligent lighting control. The system employs LiDAR (Light Detection and Ranging) sensors to accurately detect pedestrians within the crosswalk area, enabling precise localization of individuals. By integrating with traffic light data, the system effectively determines whether a pedestrian is crossing during a red or green signal. In the event of a red light violation, all zebra stripe lights rapidly flash to alert the pedestrian against jaywalking. Conversely, during legitimate green light crossings, only the three zebra stripe lights nearest to the pedestrian are illuminated, creating a dynamic lighting pattern that follows the pedestrian's progress. Notably, when more than three individuals are crossing simultaneously under the green light, the system initiates a slow flashing sequence in the zebra stripe lights to caution motorists and ensure the safe passage of pedestrians. This intelligent approach to crosswalk illumination not only improves pedestrian safety but also fosters compliance with traffic regulations, contributing to an overall enhancement of roadway safety.


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    Title :

    A fusion-perception-based zebra crossing warning system for pedestrian safety


    Contributors:
    Qin, Zhiliang (editor) / Chen, Jun (editor) / Wu, Huaichun (editor) / Feng, Chengjun (author) / Xiang, Xiaodi (author) / Ke, Xinqin (author) / Wu, Chao (author) / Xia, Xiaobo (author) / Zhou, Peng (author)

    Conference:

    Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024) ; 2024 ; Qingdao, China


    Published in:

    Proc. SPIE ; 13506


    Publication date :

    2025-01-28





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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