{"title":"Detecting walkable plane areas by using RGB-D camera and accelerometer for visually impaired people","authors":"Kenta Imai, I. Kitahara, Y. Kameda","doi":"10.1109/3DTV.2017.8280422","DOIUrl":null,"url":null,"abstract":"When visually impaired person has to walk out, they have to use white canes, but the range that can be scanned by a white cane is not long enough to walk safely. We propose to detect walkable plane areas on road surface by using the RGB-D camera and the accelerometer in the tablet terminal that is attached to the RGB-D camera. Our approach can detect plane areas in longer distance than a white cane. It is achieved by using height information from the ground and normal vectors of the surface calculated from a depth image obtained by the RGB-D camera in real time.","PeriodicalId":279013,"journal":{"name":"2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","volume":"564 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DTV.2017.8280422","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
When visually impaired person has to walk out, they have to use white canes, but the range that can be scanned by a white cane is not long enough to walk safely. We propose to detect walkable plane areas on road surface by using the RGB-D camera and the accelerometer in the tablet terminal that is attached to the RGB-D camera. Our approach can detect plane areas in longer distance than a white cane. It is achieved by using height information from the ground and normal vectors of the surface calculated from a depth image obtained by the RGB-D camera in real time.