{"title":"一种视障人士旅行辅助设备的障碍物检测","authors":"Ying Jie, Song Yanbin","doi":"10.1109/IHMSC.2012.182","DOIUrl":null,"url":null,"abstract":"An obstacles detection algorithm of a novel electronic travel aid for the blind based on stereo vision was proposed. Obstacles detection was realized using a self-adaptive threshold determination algorithm and image morphological processing. Experiments showed that the obstacle detection algorithm is effective and fast. The correct detection rate of obstacles is 96%, which is obtained using the consecutive stereo image sequences captured on the road.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Obstacle Detection of a Novel Travel Aid for Visual Impaired People\",\"authors\":\"Ying Jie, Song Yanbin\",\"doi\":\"10.1109/IHMSC.2012.182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An obstacles detection algorithm of a novel electronic travel aid for the blind based on stereo vision was proposed. Obstacles detection was realized using a self-adaptive threshold determination algorithm and image morphological processing. Experiments showed that the obstacle detection algorithm is effective and fast. The correct detection rate of obstacles is 96%, which is obtained using the consecutive stereo image sequences captured on the road.\",\"PeriodicalId\":431532,\"journal\":{\"name\":\"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2012.182\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2012.182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Obstacle Detection of a Novel Travel Aid for Visual Impaired People
An obstacles detection algorithm of a novel electronic travel aid for the blind based on stereo vision was proposed. Obstacles detection was realized using a self-adaptive threshold determination algorithm and image morphological processing. Experiments showed that the obstacle detection algorithm is effective and fast. The correct detection rate of obstacles is 96%, which is obtained using the consecutive stereo image sequences captured on the road.