智能车辆导航控制信息的获取与控制器的设计

The acquisition of Intelligent vehicle navigation control information and the design of the controller

智能车辆导航是通过对道路标记线的跟踪来控制车辆的行驶方向,使车辆沿着图像识别出来的车道线行驶。首先介绍了获取智能车辆导航路径控制信息的方法,通过处理后的道路图像,建立道路标记线与车辆跟踪路径侧偏距与方向偏差的数学模型。然后利用BP神经网络设计了神经网络转向控制器,并在MATLAB环境中利用神经网络工具箱Network/Data Manager进行了道路实验。实验结果可以证明神经网络控制器很好的逼近了目标,有效的学习了驾驶员开车的转向经验。

Intelligent vehicle navigation through the track of road marking line to control the moving direction of the vehicle.Intelligent vehicle navigation path control was introduced in detail the principle of access to information,after processing by a road image,build the road marking line with vehicle tracking path,the mathematical model of lateral deflection distance and direction deviation.Then using the BP neural network to design the neural network controller,using neural Network toolbox in MATLAB environment Network/Data Manager has carried on the road test.The results can prove that the neural Network controller good approximation to the target,effective study the drivers to experience.