基于摄像头智能车典型路径图像识别算法研究
李万敏;韩致信;赵耕云
【期刊名称】《兰州工业学院学报》 【年(卷),期】2017(024)001
【摘要】针对智能车常规设计中识别路径黑色引导线而引起提取路径信息量及误识别等问题,设计了一种以黑线为截止边界线,以白色路径线为引导线的智能车图形识别算法,并对起跑线、黑色障碍等典型特殊路径识别算法进行了优化.与传统的路径识别算法相比,该算法提取路径信息更为准确,对智能车方向控制更为灵敏精确,使智能小车在多种类型路径下更为快速而平稳的行驶.%Aiming at such problems as path information retrieval and misidentification caused by path recognition black guide line in the conventional design of smart vehicle, the paper intends to design an image recognition algorithm, with a black line as the boundary line and the white path line as the guide line, and to optimize the typical path recognition algorithm, such as starting line, black barriers and so on.Compared with the traditional path identification algorithm, this algorithm is able to retrieve the path information more accurately, and it is more sensitive and accurate in the direction control of the smart vehicles, which can in turn guarantee the speedy and steady steering of the smart vehicle in varied paths. 【总页数】4页(69-72)
【关键词】智能车;路径识别;控制算法 【作者】李万敏;韩致信;赵耕云
基于摄像头智能车典型路径图像识别算法研究
