A study on computational time reduction of road obstacle detection by parallel image processor

Yutaro Okamoto, Chinthaka Premachandra, Kiyotaka Kato

研究成果: Article

6 被引用数 (Scopus)

抄録

Automatic road obstacle detection is one of the significant problem in Intelligent Transport Systems (ITS). Many studies have been conducted for this interesting problem by using on-vehicle cameras. However, those methods still needs a dozens of milliseconds for image processing. To develop the quick obstacle avoidance devices for vehicles, further computational time reduction is expected. Furthermore, regarding the applications, compact hardware is also expected for implementation. Thus, we study on computational time reduction of the road obstacle detection by using a small-type parallel image processor. Here, computational time is reduced by developing an obstacle detection algorithm which is appropriated to parallel processing concept of that hardware. According to the experimental evaluation of the new proposal, we could limit computational time for eleven milliseconds with a good obstacle detection performance.

本文言語English
ページ(範囲)849-855
ページ数7
ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
18
5
DOI
出版ステータスPublished - 2014 9 1
外部発表はい

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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