基于5G手机的交叉路口行人检测

针对目前在交叉路口通过摄像头进行行人识别与检测容易受到天气的影响,且摄像头统计范围有限的问题,利用5G通信低时延的特性,提出了一种基于5G手机的交叉路口行人检测方法。该方法采集行人携带的5G移动终端的位置、速度、密度、方向4个典型运动特征,然后在路侧设备上建立模型进行行人检测,降低单一运动特征的行人检测造成的误差,提高了准确率。通过搭建车联网测试平台对该方法的有效性进行验证,试验结果表明:该方法可以准确地统计交叉路口行人,同时也实现了满意的检测速度,为未来的智能交通、安全预警等方向研究和应用提供技术支持。

Pedestrian Detection at Intersections Based on 5G Mobile Phones

According to utilizing the low latency of 5G communication, a 5G mobile phone based pedestrian detection method was proposed to solve the problem that the recognition and detection of pedestrians through cameras at intersections are susceptible to weather and that the statistical range of cameras is limited.According to the four typical motion characteristics of 5G mobile terminal carried by pedestrians, such as position, speed, density and direction, this method establishes a model on the roadside equipment for pedestrian detection to reduce the error caused by pedestrian detection of a single motion feature and improve the accuracy.The validity of the method is verified by building an Internet of vehicles test platform. The experimental results show that this method can accurately count the number of pedestrians in road intersections, and work well in detection speed, which provides technical support for future research and application of intelligent transportation and safety early warning.