The invention discloses an intelligent vehicle guiding system based on pavement slippery state perception, and relates to the technical field of intelligent traffic. A neural network model is established to compare and test pavement image information returned by a road test unit, and the slippery degree of a current vehicle driving pavement is classified; the adhesion coefficient is accurately predicted in combination with the current speed classification; the vehicle-following distance and the critical vehicle speed are predicted finally, the vehicle and the road are closely combined, precision of the safety early warning system is effectively achieved, and the safety coefficient and the passing efficiency of vehicle driving are improved in a targeted mode. The system is embedded into a vehicle-mounted navigation system platform, is popularized in the form of Android App, is wide in application vehicle type and good in compatibility, and can be applied to various passing vehicles, including cars at all levels, large-scale van, dangerous transport vehicles and the like.
本发明公开了一种基于路面湿滑状态感知的车辆智能引导系统,涉及智能交通技术领域,建立神经网络模型对路测单元传回的路面图像信息进行对比测试,进行当前车辆行驶路面湿滑度分类,并结合当前速度分级对附着系数进行精准预测,最终对跟车距离和临界车速进行预测,将车与路紧密结合起来,有效实现安全预警系统的精准化,有针对性地提高车辆行驶的安全系数与通行效率。该系统嵌入到车载导航系统平台当中,以AndroidApp形式进行推广,应用车型广泛,兼容性较好,可应用于各类通行车辆,包括各级轿车、大型客货车、危险运输车辆等。
Intelligent vehicle guiding system based on pavement slippery state perception
一种基于路面湿滑状态感知的车辆智能引导系统
13.07.2021
Patent
Elektronische Ressource
Chinesisch
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