Fusing vision and range for motion estimation in hardware

J. Kolodko, L. Valcic
{"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}
引用次数: 0

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.
基于视觉和距离融合的硬件运动估计
实时获取和分割运动信息既需要合适的算法,也需要该算法的硬件实现,以便及时处理海量视频数据流。本文详细介绍了一种适合于硬件实现的为自动驾驶汽车导航提供运动信息的算法。该算法利用距离信息对视觉数据进行消歧。仿真结果验证了算法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信