The invention discloses a method and system for evaluating and correcting automobile driving behaviors, and the method comprises the steps: integrating the data of an internal sensor and an external sensor of an automobile, and designing a self-adaptive machine learning algorithm to recognize an individual driving style. Then, a complex driving behavior mode is identified by using a model of a hybrid convolutional neural network and a recurrent neural network. And finally, generating a personalized driving behavior correction scheme through a generative adversarial network technology. In addition, the invention further comprises a real-time augmented reality feedback and interaction system, and the system can provide necessary driving information and suggestions in real time through a head-up display or AR glasses, which is helpful for the driver to improve the driving safety and convenience, and greatly improves the driving experience at the same time.
本发明公开了一种对汽车驾驶行为进行评估及纠正的方法及系统,这种方法通过集成车辆内部和外部传感器数据,并设计一种自适应的机器学习算法来识别个体的驾驶风格。然后,利用混合卷积神经网络和循环神经网络的模型来识别复杂的驾驶行为模式。最后,通过生成对抗网络技术生成个性化的驾驶行为纠正方案。此外,本发明还包括一个实时的增强现实反馈和交互系统,该系统可以通过抬头显示器或者AR眼镜实时提供必要的驾驶信息和建议,这将有助于驾驶员提高驾驶的安全性和便利性,同时极大地提升驾驶体验。
Method and system for evaluating and correcting automobile driving behavior
XU GANG / ZHOU RUQIANG / JIANG SONG / GU YAO
Patent
Elektronische Ressource
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