基于寻迹的智能车图像边沿提取与断路识别

Extraction and open circuit recognition of intelligent vehicle image edge based on tracking

为了提高寻迹智能车在复杂环境下的巡线稳定性以及路径类型识别的准确率,提出了一种灰度图像边沿提取算法,以LPC54606单片机为核心控制单元的智能寻迹小车,构建了智能车与PC机的通讯,通过对采集到的灰度图像进行预先分析,并在计算机上设计提取边沿算法和断路识别算法,验证算法后移植在智能车,实现了智能车在道路反光下的寻迹以及断路情况下的稳定运行与判别,验证了整体控制系统的可行性。经测试智能车寻迹快速、断路识别率高。

In order to enhance the accuracy rate of line patrol stability as well as recognition of path type for tracking intelligent vehicle under the complex environment,the article has put forward a kind of pick-up algorithm for gray level image edge,which is a intelligent tacking vehicle that has regarded LPC546060 single chip as core control unit to establish the communication between intelligent vehicle and PC machine;by conducting pre-analysis to the collected gray level image;by conducting pre analysis to the collected gray level image and by designing edge extraction algorithm and circuit break recognition algorithm it has been trans-planted onto the intelligent vehicle after rectifying the algorithm,which has realized the tracking under reflective road and stable operation and judgement under open circuit condition,it has rectified the feasibility of the overall controlling system.Via the testing,the tracking of the intelligent vehicle is fast and the recognition rate of the open circuit is high.