测控技术2017，Vol.36Issue(11)：23-26,4.
视觉导引智能车的自适应路径识别及控制研究
Research on Adaptive Path Recognition and Control of Visual Guided Smart Car
摘要
Abstract
In order to improve the accuracy and speed of path recognition of intelligent tracking car,a path recognition algorithm based on adaptive threshold binarization is proposed.Firstly,the OTSU algorithm is used to calculate the optimal threshold of image segmentation,and the threshold is used to binarize the gray image.Then,the center line of the track in the binarized image is extracted to get the position information of the smart car in the track.Secondly,the linear regression equation is used to fit the missing edge of the track,and the path recognition is done according to the image feature.Finally,the sectional PID algorithm is used to realize the directional control,and the incremental PID is used to adjust the speed.The test results show that this method can effectively improve the recognition rate of different paths and the adaptability to the external lighting environment.关键词
智能车/OTSU算法/路径识别/图像处理Key words
smart car/OTSU/path recognition/image processing分类
信息技术与安全科学引用本文复制引用
张毅,高进可,王琪,王爽杰,袁明新..视觉导引智能车的自适应路径识别及控制研究[J].测控技术,2017,36(11):23-26,4.基金项目
张家港江苏科技大学产业技术研究院对港质量提升工程项目(559916004) （559916004）
张家港市香樟树众创空间服务中心入驻项目(XZS201601) （XZS201601）
