The invention provides an AI-based wet and slippery road surface driving safety early warning method and system, and relates to the technical field of artificial intelligence. Firstly, dangerous area information in candidate wet and slippery road surface road conditions is accurately extracted, and driving state description characteristics extracted by combining vehicle sensor data are extracted; and dangerous situations possibly encountered by the vehicle at present and in the future are effectively identified. Through a cyclic reasoning mechanism, the method can accurately predict a change sequence of a dangerous area according to various dynamic factors, such as to-be-injected interference characteristics and reasoning unit length, so that the accuracy and timeliness of driving safety early warning are improved, an early warning system can better adapt to a complex and changeable wet and slippery road surface environment, and the driving safety early warning method is suitable for driving safety early warning. Therefore, a more reliable safety guarantee is provided for a driver, and the traffic accident risk caused by wet and slippery road surfaces is remarkably reduced.
本发明提供一种基于AI的湿滑路面行车安全预警方法及系统,涉及人工智能技术领域,首先准确提取候选湿滑路面路况中的危险区域信息,并结合车辆传感器数据提取的行车状态描述特征,有效识别了车辆在当前及未来可能遇到的危险情况。通过循环推理机制,该方法能够依据多种动态因素,如待注入干扰特征、推理单位长度等,对危险区域的变化序列进行精准预测,不仅提高了行车安全预警的准确性和时效性,还使得预警系统能够更好地适应复杂多变的湿滑路面环境,从而为驾驶员提供更为可靠的安全保障,显著降低因路面湿滑导致的交通事故风险。
Wet and slippery road surface driving safety early warning method and system based on AI
基于AI的湿滑路面行车安全预警方法及系统
2025-03-07
Patent
Electronic Resource
Chinese
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