The invention provides a vehicle collision risk early warning method, system and device and a medium, and belongs to the technical field of vehicle safety control. The method comprises the steps that surrounding environment information of a vehicle is collected in real time through a vehicle built-in sensor and a GPS module; a multi-sensor fusion device technology is used to carry out comprehensive processing on surrounding environment information of a vehicle, and an environment perception model is generated after data integration; based on the environment perception model, target identification is carried out by using a computer vision technology based on a convolutional neural network so as to identify travelers, vehicles, traffic signs and obstacles; performing behavior prediction based on a deep learning model to predict a behavior track of a front vehicle or pedestrian; evaluating a potential collision risk in the current scene in combination with the target recognition result and the behavior prediction result; when a potential collision risk is detected, an early warning signal is sent to a driver, and when the driver does not take corresponding measures, active safety measures are automatically triggered to avoid collision or reduce accident damage.
本发明提供了一种车辆碰撞风险预警方法、系统、设备及介质,属于车辆安全控制技术领域。所述方法包括:通过车辆内置传感器和GPS模块实时采集车辆的周围环境信息;利用多传感器融合器技术对车辆的周围环境信息进行综合处理,经过数据整合后生成环境感知模型;基于环境感知模型,利用基于卷积神经网络的计算机视觉技术进行目标识别,以识别出行人、车辆、交通标志和障碍物;利用基于深度学习模型进行行为预测,以预测前方车辆或行人的行为轨迹;结合目标识别结果和行为预测结果,评估当前场景下潜在的碰撞风险;当检测到潜在的碰撞风险时,向驾驶员发出预警信号,并在驾驶员未采取相应措施时,自动触发主动安全措施以避免碰撞或减轻事故损害。
Vehicle collision risk early warning method, system, equipment and medium
一种车辆碰撞风险预警方法、系统、设备及介质
2025-02-18
Patent
Electronic Resource
Chinese
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