基于摄像头识别路径的智能车系统设计

Design of smart car system with camera-based path recognition

为实现智能车路径自主识别,设计一种路径识别系统.针对采集信息量大、对外界干扰噪点处理不完善的缺点,利用自适应动态阈值图像处理算法对采集的信息进行还原、滤波,计算出最佳路径.系统中硬件设计通过摄像头采集道路信息,以MK60N512VLQ100(K60)为核心控制器,并使用Bluetooth无线通信技术进行在线调试.在线测试结果表明,自适应动态阈值图像处理算法在智能车路径识别中具有明显的优势,通过该算法对图像进行有效的处理,可以增加智能车对路径的跟随性能.

In order to realize autonomous recognition of the path of smart car,a path identification system was designed.Aimed at the problems such as large volume of information acquisition and imperfect processing of external interference noise,a kind of image processing algorithm with adaptive dynamic threshold was used to recover and filter the gathered informations and the optimal path was determined.In the system hardware design a camera was used to gather the road information,MCU MK60N512VLQ100 （K60） was taken as kernel controller,and Bluetooth Communication module was used to conduct online program debugging.It was shown by online test that this image processing algorithm exhibited remarkable advantage for path recognition of smart car and the path follow-up performance could be improved if the image was effectively processed with this algorithm.