The invention discloses an automatic driving takeover system based on a driving style, which relates to the technical field of automatic driving, extracts historical driving data of a driver by using a Monte Carlo method, constructs a deep learning algorithm model by using a convolutional neural network, and performs model training through digital traffic information in a networked data set. According to the method, the driving habit data is obtained, the convolutional neural network is trained by the preferred trust domain algorithm to obtain the man-machine co-driving grade situation data, the convolutional neural network is iteratively trained for multiple times, and the obtained trained convolutional neural network model can accurately discriminate the driving style, so that the accuracy of overall recognition of the driving style is improved. According to the system, the driving styles can be determined according to the driving habits of different drivers in different driving environments, automatic driving after taking over is matched to the driving mode of the corresponding driving style level, and the traffic safety and the driving comfort are further improved.
本发明公开了一种基于驾驶风格的自动驾驶接管系统,涉及自动驾驶技术领域,利用蒙特卡洛法对驾驶员历史驾驶数据进行提取,使用卷积神经网络构建深度学习算法模型,并通过联网数据集中的数字交通信息进行模型训练,得到驾驶习惯数据,优选信任域算法对卷积神经网络训练,得到人机共驾等级态势数据,再对卷积神经网络多次进行迭代训练,得到训练后的卷积神经网络模型能够精准判别驾驶风格,提高了驾驶风格整体识别的准确性。该系统针对不同驾驶员处于不同驾驶环境中,能够根据自身驾驶习惯确定驾驶风格,并将接管后的自动驾驶匹配至对应驾驶风格等级的驾驶模式,进一步提升交通安全性和驾乘舒适性。
Automatic driving takeover system based on driving style
一种基于驾驶风格的自动驾驶接管系统
2025-02-28
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 |
Driver takeover capability prediction method under automatic driving system
European Patent Office | 2021
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