{"title":"实时车载立体障碍物检测系统的全局优化算法","authors":"S. Kubota, T. Nakano, Y. Okamoto","doi":"10.1109/IVS.2007.4290083","DOIUrl":null,"url":null,"abstract":"A fast and robust stereo algorithm for on-board obstacle detection systems is proposed. The proposed method finds the optimum road-obstacle boundary which provides the most consistent interpretation of the input stereo image pair. Global optimization combined with a robust matching measure enables stable detection of obstacles under various circumstances, such as heavy rain and severe lighting conditions. The processing time for VGA size image pair is about 15 msec on a 3.6 GHz pentium IV processor, which is fast enough for realtime applications.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"60","resultStr":"{\"title\":\"A Global Optimization Algorithm for Real-Time On-Board Stereo Obstacle Detection Systems\",\"authors\":\"S. Kubota, T. Nakano, Y. Okamoto\",\"doi\":\"10.1109/IVS.2007.4290083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fast and robust stereo algorithm for on-board obstacle detection systems is proposed. The proposed method finds the optimum road-obstacle boundary which provides the most consistent interpretation of the input stereo image pair. Global optimization combined with a robust matching measure enables stable detection of obstacles under various circumstances, such as heavy rain and severe lighting conditions. The processing time for VGA size image pair is about 15 msec on a 3.6 GHz pentium IV processor, which is fast enough for realtime applications.\",\"PeriodicalId\":190903,\"journal\":{\"name\":\"2007 IEEE Intelligent Vehicles Symposium\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"60\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Intelligent Vehicles Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2007.4290083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Intelligent Vehicles Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2007.4290083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Global Optimization Algorithm for Real-Time On-Board Stereo Obstacle Detection Systems
A fast and robust stereo algorithm for on-board obstacle detection systems is proposed. The proposed method finds the optimum road-obstacle boundary which provides the most consistent interpretation of the input stereo image pair. Global optimization combined with a robust matching measure enables stable detection of obstacles under various circumstances, such as heavy rain and severe lighting conditions. The processing time for VGA size image pair is about 15 msec on a 3.6 GHz pentium IV processor, which is fast enough for realtime applications.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
