Chen Haiyu, Wen Xin, Liu Yunbo, Zhang Hui
Guangdong Provincial Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Shenzhen Campus, Sun Yat-sen University, Shenzhen 518107, China.
Sensors (Basel). 2025 Feb 20;25(5):1303. doi: 10.3390/s25051303.
In response to the limitations of existing vehicle detection technologies when applied to distributed sensor networks for road traffic holographic perception, this paper proposes a vehicle information detection technology based on single-point laser ranging. The system uses two single-point laser radars with fixed angles, combined with an adaptive threshold state machine and waveform segmentation fusion, to accurately detect vehicle speed, lane position, and other parameters. Compared with traditional methods, this technology offers advantages such as richer detection dimensions, low cost, and ease of installation and maintenance, making it suitable for large-scale traffic monitoring on secondary roads, highways, and suburban roads. Experimental results show that the system achieves high accuracy and reliability in low-to-medium-traffic flow scenarios, demonstrating its potential for intelligent road traffic applications.
针对现有车辆检测技术应用于道路交通全息感知分布式传感器网络时的局限性，本文提出了一种基于单点激光测距的车辆信息检测技术。该系统使用两个固定角度的单点激光雷达，结合自适应阈值状态机和波形分割融合，准确检测车速、车道位置等参数。与传统方法相比，该技术具有检测维度更丰富、成本低、易于安装维护等优点，适用于二级公路、高速公路和城郊道路的大规模交通监测。实验结果表明，该系统在低至中等交通流量场景下实现了高精度和可靠性，展现了其在智能道路交通应用中的潜力。
