A novel algorithm for distance measurement using stereo camera

作     者：Elmehdi Adil Mohammed Mikou Ahmed Mouhsen 

作者机构：MISI LaboratoryFaculty of Sciences and TechniquesHassan First University of SettatSettatMorocco IMII LaboratoryFaculty of Sciences and TechniquesHassan First University of SettatSettatMorocco 

出 版 物：《CAAI Transactions on Intelligence Technology》 (智能技术学报（英文）)

年 卷 期：2022年第7卷第2期

页      面：177-186页

核心收录：

学科分类：07[理学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

主　　题：computer vision disparity maps distance measurement Python stereoscopic processing 

摘      要：Distance estimation can be achieved by using active sensors or with the help of passive sensors such as *** stereo vision system is generally composed of two cameras to mimic the human binocular *** this paper,a Python-based algorithm is pro-posed to find the parameters of each camera,rectify the images,create the disparity maps and finally use these maps for distance *** using real-time im-ages,which were captured from our stereo vision system,of different obstacles posi-tioned at multiple distances(60-200 cm)prove the effectiveness of the proposed program and show that the calculated distance to the obstacle is relatively *** accuracy of distance measurement is up to 99.83%.The processing time needed to calculate the distance between the obstacle and the cameras is less than 0.355 s.