The invention relates to a collision detection method and device based on multi-sensor data fusion, and the method comprises the steps: collecting the dynamic information of a vehicle in real time through a plurality of sensors disposed on the vehicle; preprocessing the dynamic information collected by the plurality of sensors, and storing the preprocessed data; automatically adjusting a collision detection strategy and a threshold value of the deep learning model according to the real-time driving environment and the vehicle state of the vehicle; performing comprehensive analysis and collision detection; once a collision is detected, video records, sensor data and related parameters before and after the collision are automatically stored. By fusing various sensor data, the limitation of dependence on a single data source is reduced, and the accuracy of collision prediction is improved.
本发明涉及一种基于多传感器数据融合的碰撞检测方法和装置,所述的方法包括通过安装在车辆上的多个传感器,实时收集车辆的动态信息;对多个传感器收集的动态信息进行预处理,并保存预处理后的数据;根据车辆的实时行驶环境和车辆状态,自动调整深度学习模型的碰撞检测策略和阈值;综合分析和碰撞检测;一旦检测到碰撞,自动保存发生碰撞前后的视频记录、传感器数据和相关参数。通过融合多种传感器数据,减少依赖单一数据源的局限,提高碰撞预测的准确性。
Collision detection method and device based on multi-sensor data fusion and storage medium
基于多传感器数据融合的碰撞检测方法、装置及存储介质
2025-03-18
Patent
Electronic Resource
Chinese
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