车辆碰撞事件与碰撞损伤的检测方法

提出了一种针对车辆碰撞事件的远程检测方法. 该方法利用机器学习技术分析车辆的速度和加速度信号, 从而对车辆的行驶状态进行在线监测. 车载的前端设备实时的采集速度和加速度信号, 初步识别出可能的碰撞信号并通过无线网络发送给后台服务器. 后台服务器对碰撞信号进行准确识别, 并判断车辆的损伤程度. 论文给出了碰撞事件和碰撞损伤的检测方法, 并进行了实验测试, 结果表明该方法是有效的.

Detection Method for Collision Events and Collision Damages in Moving Vehicles

A remote detection method for vehicle collision events is proposed. This method is used to analyze the speed and acceleration signals of vehicles by using machine learning so as to monitor the vehicle running states online. The front-end equipment of a vehicle collects the speed and acceleration signals in real time, preliminarily identifies possible collision signals and sends them to the back-end server through wireless network. The back-end server accurately identifies the collision signals and estimate the damage degree of vehicles. The detection methods of collision events and collision damages are given in this article, and the experimental results show that the proposed method is effective.