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文章基本信息

  • 标题:Avoiding Forward Car Collision using Stereo Vision System
  • 本地全文:下载
  • 作者:Surgailis ; Tadas ; Valinevicius
  • 期刊名称:Studies About Languages
  • 印刷版ISSN:2029-7203
  • 出版年度:2012
  • 卷号:18
  • 期号:8
  • 页码:37-40
  • DOI:10.5755/j01.eee.18.8.2609
  • 语种:English
  • 出版社:Faculty of Humanities, Kaunas University of Technology
  • 其他摘要:This paper presents a model of stereo vision system for intelligent vehicles to avoid forward car collision. Approached vehicle extraction and distance estimation algorithm based on dense edge map calculation and ROI filter. Primary experiments have been executed modeling vision system in a virtual computer reality. Special developed software has been used to simulate virtual environment and vision system. Results shows that approached algorithm successfully extracted not only vehicles but and other potential obstacles, such as, pedestrians. DOI: http://dx.doi.org/10.5755/j01.eee.18.8.2609
  • 关键词:automotive electronics;vehicle detection;vehicle driving;object recognition
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