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Lane detection algorithm based on ARM embedded platform
Image Processing | 更新时间:2024-05-15
    • Lane detection algorithm based on ARM embedded platform

    • 在车道线检测领域取得重要突破。针对现有算法难以平衡检测精度和速度的问题,研究者提出一种全新的基于ARM嵌入式平台的车道线检测算法。该算法通过设计轻量化语义分割网络,结合卡尔曼滤波车道线跟踪模型,重构编码器以及利用TensorRT加速推理,实现了在保证检测精度的同时提升检测速度。实验结果表明,该算法能够应对各种复杂交通场景,检测精度高达98.03%,检测速度达到50 FSP,满足实时性检测要求。这一研究成果为车道线检测领域提供了新的解决方案,具有重要的理论价值和实际应用价值。
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 4, Pages: 543-552(2024)
    • DOI:10.37188/CJLCD.2023-0141    

      CLC: TP391.4
    • Published:05 April 2024

      Received:13 April 2023

      Revised:19 May 2023

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  • GUAN Tiantian, YANG Fan. Lane detection algorithm based on ARM embedded platform. [J]. Chinese Journal of Liquid Crystals and Displays 39(4):543-552(2024) DOI: 10.37188/CJLCD.2023-0141.

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