{"title":"基于视觉和距离融合的硬件运动估计","authors":"J. Kolodko, L. Valcic","doi":"10.1109/IECON.2003.1280277","DOIUrl":null,"url":null,"abstract":"Obtaining and segmenting motion information in real time requires both an appropriate algorithm and a hardware implementation of that algorithm so that the massive video data stream is processed in a timely manner. This paper details an algorithm suitable for hardware implementation that provides motion information for autonomous vehicle navigation. This algorithm utilizes range information to disambiguate visual data. Simulation results illustrate the correct operation of our algorithm.","PeriodicalId":403239,"journal":{"name":"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fusing vision and range for motion estimation in hardware\",\"authors\":\"J. Kolodko, L. Valcic\",\"doi\":\"10.1109/IECON.2003.1280277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Obtaining and segmenting motion information in real time requires both an appropriate algorithm and a hardware implementation of that algorithm so that the massive video data stream is processed in a timely manner. This paper details an algorithm suitable for hardware implementation that provides motion information for autonomous vehicle navigation. This algorithm utilizes range information to disambiguate visual data. Simulation results illustrate the correct operation of our algorithm.\",\"PeriodicalId\":403239,\"journal\":{\"name\":\"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)\",\"volume\":\"139 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2003.1280277\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2003.1280277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fusing vision and range for motion estimation in hardware
Obtaining and segmenting motion information in real time requires both an appropriate algorithm and a hardware implementation of that algorithm so that the massive video data stream is processed in a timely manner. This paper details an algorithm suitable for hardware implementation that provides motion information for autonomous vehicle navigation. This algorithm utilizes range information to disambiguate visual data. Simulation results illustrate the correct operation of our algorithm.