The invention relates to the technical field of auxiliary driving and the technical field of data processing, in particular to an automobile following start-stop distance method based on machine learning. According to the method, distance data, acceleration data and speed data of a vehicle are transmitted to the cloud through the Internet of Vehicles. And integrating and analyzing the data according to Internet cloud computing to obtain the driving danger degree and the state danger degree of each vehicle. A large database of the cloud side counts a large amount of historical data, a loss function is constructed according to the data of the target vehicle on the road and the data of the front vehicle, the loss function is fitted through the corresponding historical data, the minimum loss is obtained, the real-time first distance is adjusted according to the minimum loss, and the optimal braking distance is obtained. According to the method, the influence between the vehicles is considered through big data analysis and Internet cloud processing, and the optimal braking distance with high reference is obtained.
本发明涉及辅助驾驶技术领域和数据处理技术领域,具体涉及一种基于机器学习的汽车跟车启停距离方法。该方法通过车联网将车辆的距离数据、加速度数据和速度数据传输给云端。根据互联网云计算实现对数据的整合分析,获得每个车辆的行驶危险程度和状态危险程度。云端的大数据库统计大量的历史数据,根据目标车辆在道路中的数据和前方车辆的数据构建损失函数,利用对应的历史数据拟合损失函数,获得最小损失,根据最小损失调整实时第一距离,获得最佳刹车距离。本发明通过大数据分析和互联网云端处理考虑到了车辆之间的影响,获得参考性强的最佳刹车距离。
Vehicle following start-stop distance method based on machine learning
基于机器学习的汽车跟车启停距离方法
2022-11-01
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |