{"title":"Forward obstacle detection system by stereo vision","authors":"Hiroaki Iwata, K. Saneyoshi","doi":"10.1109/ROBIO.2012.6491236","DOIUrl":null,"url":null,"abstract":"We have developed forward obstacle detection system which has good detectability and the accuracy of distance only by using stereo vision. The dense disparity images of a region-based matching can be obtained at real time by using FPGA-based stereo processing system. Road surfaces are detected and the space to drive can be limited. A smoothing filter is also used. Owing to these, the accuracy of distance is improved. This system runs in real time. In the experiments, this system could detect forward obstacles 100 m away, and also it could immediately detect cutting-in objects.","PeriodicalId":426468,"journal":{"name":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2012.6491236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
We have developed forward obstacle detection system which has good detectability and the accuracy of distance only by using stereo vision. The dense disparity images of a region-based matching can be obtained at real time by using FPGA-based stereo processing system. Road surfaces are detected and the space to drive can be limited. A smoothing filter is also used. Owing to these, the accuracy of distance is improved. This system runs in real time. In the experiments, this system could detect forward obstacles 100 m away, and also it could immediately detect cutting-in objects.