{"title":"全视制导中的信标识别","authors":"Zuo-liang Cao","doi":"10.1117/12.2294908","DOIUrl":null,"url":null,"abstract":"The beacon recognition approach based on the omni-vision characteristics is presented. The proposed method using a color lights arranged in a given spatial pattern is described. A recongnition logic using color features added spatial dimensions was developed. The navigation software integrating the beacon recognition with robot positioning is provided. The developments of the nr,w method will lead to practical module in omni-vision guidance for mobile robots.","PeriodicalId":322470,"journal":{"name":"Marketplace for Industrial Lasers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Beacon recognition in omni-vision guidance\",\"authors\":\"Zuo-liang Cao\",\"doi\":\"10.1117/12.2294908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The beacon recognition approach based on the omni-vision characteristics is presented. The proposed method using a color lights arranged in a given spatial pattern is described. A recongnition logic using color features added spatial dimensions was developed. The navigation software integrating the beacon recognition with robot positioning is provided. The developments of the nr,w method will lead to practical module in omni-vision guidance for mobile robots.\",\"PeriodicalId\":322470,\"journal\":{\"name\":\"Marketplace for Industrial Lasers\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marketplace for Industrial Lasers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2294908\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marketplace for Industrial Lasers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2294908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The beacon recognition approach based on the omni-vision characteristics is presented. The proposed method using a color lights arranged in a given spatial pattern is described. A recongnition logic using color features added spatial dimensions was developed. The navigation software integrating the beacon recognition with robot positioning is provided. The developments of the nr,w method will lead to practical module in omni-vision guidance for mobile robots.
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