智能车锁

RECOGNIZE THE DRIVER'S IDENTITY BASED ON THE LEARNING OF STEERING BEHAVIORS

In this project, we have developed car security system based on the driver’s behaviors. The authorized drivers’ behaviors are learned and classified by the vehicle. Hence, the system has the ability to on-line monitor and judge whether the current driver is one of the authorized drivers or not. If there is offense to this, the vehicle will intelligently refuse to function. The driving patterns are embedded into an electronic carkey so that vehicle could be more secure.
In the project, we have addressed the following issues:
1) To capture the characteristics of human driving behaviors for identification of drivers;
2) To measure the similarity between the driving behaviors of different human drivers;
3) To store the driving skill patterns into the intelligent car electronically;
4) To prevent collision accidents from happening based on the models of human driving behaviors;
5) To develop simulation and practical systems that utilize human driving models for security and safety.

Key Investigators: Yangsheng Xu, K.K. Lee, Xiaoning Meng

相关内容

• 实时驾驶建模
• 智能车锁

在智能车锁系统的研究中，我们研发了一套基于驾驶员行为的车辆保安系统。系统能够通过学习驾驶员的行为知道哪些人可以驾驶本车。因此，在非法司机驾车时，系统可以进行实时的判断，从而拒绝行驶。 合法驾驶员的驾驶行为模式可以植入智能电子车锁之中，从而使得车辆更加安全。
智能车锁系统侧重研究以下几方面问题：
　　（1）获取人的驾驶行为的特征进而辨识驾驶员的身份；
　　（2）测量不同人驾驶行为的相似性；
　　（3）把驾驶行为模式存储在智能车辆里面；
　　（4）利用人的驾驶行为模型来防止碰撞事故发生；
　　（5）利用基于人的驾驶行为模型来开发汽车安全、防盗的仿真与实际系统。