无线电工程2024，Vol.54Issue(1)：14-23,10.DOI:10.3969/j.issn.1003-3106.2024.01.003
基于双目视觉的车前行人检测方法研究
Research on Pedestrian Detection Method in Front of Vehicle Based on Binocular Vision
摘要
Abstract
At present,vehicle safety assisted driving and autonomous vehicle are the research hotspots in the field of image.For the safety problems that may be caused by pedestrians in front of the vehicle when the vehicle is starting or running,the method of pedestrian detection in front of the vehicle based on binocular vision is studied.Firstly,the camera calibration and stereo calibration of binocular camera are carried out.Then,the depth map is obtained by an improved semi-global stereo matching algorithm to determine the Region of Interest(ROI)of the position of pedestrians in front of the vehicle and eliminate redundant background information.The feature information of the dimension reduction Histogram of Gradients(HOG)is segmented and extracted.The features are input into the Support Vector Machine(SVM)classifier for training,and the pedestrian targets in front of the vehicle are finally detected and marked.Experiments show that the proposed algorithm can detect dynamic pedestrians in front of vehicles more effectively,with better detection accuracy,timeliness and robustness.关键词
行人检测/立体匹配/双目视觉/降维梯度直方图/支持向量机分类器Key words
pedestrian detection/stereo matching/binocular vision/dimension reduction HOG/SVM classifier分类
信息技术与安全科学引用本文复制引用
王正家,王思宇,景嘉宝..基于双目视觉的车前行人检测方法研究[J].无线电工程,2024,54(1):14-23,10.基金项目
国家自然科学基金(51275158)National Natural Science Foundation of China(51275158) （51275158）
