Road-sign detection and tracking

Chiung Yao Fang*, Sei-Wang Chen, Chiou Shann Fuh

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

253 引文 斯高帕斯(Scopus)

摘要

In a visual driver-assistance system road-sign detection and tracking is one of the major tasks. This study describes an approach to detecting and tracking road signs appearing in complex traffic scenes. In the detection phase, two neural networks are developed to extract color and shape features of traffic signs from the input scenes images. Traffic signs are then located in the images based on the extracted features. This process is primarily conceptualized in terms of fuzzy-set discipline. In the tracking phase, traffic signs located in the previous phase are tracked through image sequences using a Kalman filter. The experimental results demonstrate that the proposed method performs well in both detecting and tracking road signs present in complex scenes and in various weather and illumination conditions.

原文英語
頁(從 - 到)1329-1341
頁數13
期刊IEEE Transactions on Vehicular Technology
52
發行號5
DOIs
出版狀態已發佈 - 2003 9月

ASJC Scopus subject areas

  • 汽車工程
  • 航空工程
  • 電氣與電子工程
  • 應用數學

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