用于监控车辆盲点的立体全景视觉

IEEE Intelligent Vehicles Symposium, 2004 Pub Date : 2004-06-14 DOI:10.1109/IVS.2004.1336351

Leanne Matuszyk, A. Zelinsky, L. Nilsson, M. Rilbe

{"title":"用于监控车辆盲点的立体全景视觉","authors":"Leanne Matuszyk, A. Zelinsky, L. Nilsson, M. Rilbe","doi":"10.1109/IVS.2004.1336351","DOIUrl":null,"url":null,"abstract":"This paper presents a stereo panoramic sensor as part of a driver assistance system to monitor driver blind-spots around vehicles. With our system we have generated panoramic disparity maps to reliably estimate range to objects in the surrounding environment. It was also proven that it is possible to apply the /spl nu/-disparity algorithm to panoramic images to successfully segment obstacles, even in the case of extremely noisy data. The stereo system has been evaluated using ground truth data, together with extensive field experiments.","PeriodicalId":296386,"journal":{"name":"IEEE Intelligent Vehicles Symposium, 2004","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Stereo panoramic vision for monitoring vehicle blind-spots\",\"authors\":\"Leanne Matuszyk, A. Zelinsky, L. Nilsson, M. Rilbe\",\"doi\":\"10.1109/IVS.2004.1336351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a stereo panoramic sensor as part of a driver assistance system to monitor driver blind-spots around vehicles. With our system we have generated panoramic disparity maps to reliably estimate range to objects in the surrounding environment. It was also proven that it is possible to apply the /spl nu/-disparity algorithm to panoramic images to successfully segment obstacles, even in the case of extremely noisy data. The stereo system has been evaluated using ground truth data, together with extensive field experiments.\",\"PeriodicalId\":296386,\"journal\":{\"name\":\"IEEE Intelligent Vehicles Symposium, 2004\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Intelligent Vehicles Symposium, 2004\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2004.1336351\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Intelligent Vehicles Symposium, 2004","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2004.1336351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 31

摘要

本文提出了一种立体全景传感器作为驾驶员辅助系统的一部分，用于监测车辆周围的驾驶员盲点。利用我们的系统，我们已经生成了全景视差图，以可靠地估计周围环境中物体的距离。研究还证明，即使在数据噪声极大的情况下，也可以将/spl nu/-视差算法应用于全景图像，成功分割障碍物。利用地面真实数据和广泛的实地试验对立体系统进行了评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Stereo panoramic vision for monitoring vehicle blind-spots

This paper presents a stereo panoramic sensor as part of a driver assistance system to monitor driver blind-spots around vehicles. With our system we have generated panoramic disparity maps to reliably estimate range to objects in the surrounding environment. It was also proven that it is possible to apply the /spl nu/-disparity algorithm to panoramic images to successfully segment obstacles, even in the case of extremely noisy data. The stereo system has been evaluated using ground truth data, together with extensive field experiments.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Intelligent Vehicles Symposium, 2004

自引率

0.00%

发文量