{"title":"使用BeagleBoneBlack和RaspberryPi进行立体距离估计","authors":"S. Mischie, Andrada Muntean","doi":"10.1109/ISSCS.2017.8034919","DOIUrl":null,"url":null,"abstract":"This paper presents an implementation of a stereo system using image processing techniques in order to determine the distance to an object from a pair of images. Starting from this, the algorithm calculates the disparity image. The distance to an object is determined by using filters, making a histogram of the disparity image and interpolating. The entire algorithm has been implemented on the BeagleBoneBlack (BBB) and RaspberryPi platforms. OpenCV and V4L2 libraries were used to implement the code. The aim of this paper is to try to implement at a lower scale a device used in automotive industry, because the modern cars are today equipped with stereo cameras that helps the driver avoid the impact with pedestrians or any other undesired obstacles.","PeriodicalId":338255,"journal":{"name":"2017 International Symposium on Signals, Circuits and Systems (ISSCS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Distance estimation through stereoscopy using BeagleBoneBlack and RaspberryPi\",\"authors\":\"S. Mischie, Andrada Muntean\",\"doi\":\"10.1109/ISSCS.2017.8034919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an implementation of a stereo system using image processing techniques in order to determine the distance to an object from a pair of images. Starting from this, the algorithm calculates the disparity image. The distance to an object is determined by using filters, making a histogram of the disparity image and interpolating. The entire algorithm has been implemented on the BeagleBoneBlack (BBB) and RaspberryPi platforms. OpenCV and V4L2 libraries were used to implement the code. The aim of this paper is to try to implement at a lower scale a device used in automotive industry, because the modern cars are today equipped with stereo cameras that helps the driver avoid the impact with pedestrians or any other undesired obstacles.\",\"PeriodicalId\":338255,\"journal\":{\"name\":\"2017 International Symposium on Signals, Circuits and Systems (ISSCS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Symposium on Signals, Circuits and Systems (ISSCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCS.2017.8034919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Symposium on Signals, Circuits and Systems (ISSCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2017.8034919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distance estimation through stereoscopy using BeagleBoneBlack and RaspberryPi
This paper presents an implementation of a stereo system using image processing techniques in order to determine the distance to an object from a pair of images. Starting from this, the algorithm calculates the disparity image. The distance to an object is determined by using filters, making a histogram of the disparity image and interpolating. The entire algorithm has been implemented on the BeagleBoneBlack (BBB) and RaspberryPi platforms. OpenCV and V4L2 libraries were used to implement the code. The aim of this paper is to try to implement at a lower scale a device used in automotive industry, because the modern cars are today equipped with stereo cameras that helps the driver avoid the impact with pedestrians or any other undesired obstacles.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
