A region-based approach to stereo matching for USAR

Brian McKinnon*, Jacky Baltes, John Anderson

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

Stereo vision for mobile robots is challenging, particularly when employing embedded systems with limited processing power. Objects in the field of vision must be extracted and represented in a fashion useful to the observer, while at the same time, methods must be in place for dealing with the large volume of data that stereo vision necessitates, in order that a practical frame rate may be obtained. We are working with stereo vision as the sole form of perception for Urban Search and Rescue (USAR) vehicles. This paper describes our procedure for extracting and matching object data using a stereo vision system. Initial results aro provided to demonstrate the potential of this system for USAR and other challenging domains.

原文英語
主出版物標題RoboCup 2005
主出版物子標題Robot Soccer World Cup IX
發行者Springer Verlag
頁面452-463
頁數12
ISBN(列印)9783540354376
DOIs
出版狀態已發佈 - 2006
對外發佈

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4020 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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