The invention discloses a vehicle collision early warning analysis system based on multi-source data fusion analysis. According to the method, the positions of the same target object under different time sequences of the images collected by the plurality of visual cameras are analyzed to obtain the position information of the plurality of objects under different time sequences, the movement of the plurality of objects is converted into the movement vector, the movement vector distance between the vehicle and the plurality of objects is analyzed in the two-dimensional map, and the distance between the vehicle and the plurality of objects is calculated. Early warning analysis can be effectively carried out on automobile collision in time, and the safety of the automobile in the driving process is guaranteed.
本发明公开了一种基于多源数据融合分析的车辆碰撞预警分析系统。本发明通过对多个视觉摄像头采集的图像在不同时间序列下同一目标对象的位置进行分析,得到多个对象在不同时间序列下的位置信息,将多个对象的移动转化为移动向量,在二维地图中分析车辆与多个对象的移动向量距离,能够及时有效地对汽车碰撞做出预警分析,保障了汽车在行驶过程中的安全性。
Vehicle collision early warning analysis system based on multi-source data fusion analysis
一种基于多源数据融合分析的车辆碰撞预警分析系统
2024-12-06
Patent
Electronic Resource
Chinese
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