The invention discloses a vehicle and pedestrian collision avoidance method based on edge computing, and belongs to the field of Internet of Things. In an edge computing environment, communication between a vehicle and pedestrian equipment is realized through an edge server, communication delay is reduced, kalman filtering is adopted to predict the position of the vehicle, and the track of a pedestrian is predicted by using a sensor on the pedestrian equipment, so that restriction of line of sight is overcome, the collision detection precision is improved, and the method is suitable for most non-line-of-sight (NLOS) scenes. In addition, a collision risk model based on the time to collision (TTC) is established according to the relative motion relationship between the vehicle and the pedestrian. The simulation result shows that the collision avoidance algorithm provided by the invention can effectively reduce the collision risk of the vehicle and the pedestrian.
本发明公开了一种基于边缘计算的车辆行人碰撞避免方法,属于物联网领域,在边缘计算环境下,通过边缘服务器实现车辆和行人设备的通信,减小通信延迟,采用卡尔曼滤波来预测车辆的位置,利用行人设备上的传感器来预测行人轨迹,克服了视距的限制,提高了碰撞检测精度,适用于大多数非视距(NLOS)场景,并根据车辆与行人之间的相对运动关系,建立了基于碰撞时间(TTC)的碰撞风险模型,仿真结果表明,本发明所提出的碰撞避免算法可以有效降低车辆行人的碰撞风险。
Vehicle and pedestrian collision avoidance method based on edge computing
一种基于边缘计算的车辆行人碰撞避免方法
2020-08-04
Patent
Electronic Resource
Chinese
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