An approach of road recognition using mean shift and feature clustering

Research output: Contribution to journalArticlepeer-review

Abstract

Intelligent vehicle is an active research domain over the world, and is also an important research direction of computer vision. Vision system is the key part of intelligent vehicle, in which road recognition and following are the core modules. In this paper, the robust spatial analysis method, mean shift, is adopted to cluster color information of road, and the road is recognized using a reference region. Then the region that vehicle can run can be got. Experimental results indicate that the method has good properties of robustness, autonomy and parallelism, and it is suitable for real time image processing systems, such as the computer vision system of intelligent vehicles, navigation part of mobile robots.

Original languageEnglish
Pages (from-to)484-488
Number of pages5
JournalMoshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
Volume15
Issue number4
StatePublished - Dec 2002

Keywords

  • Feature clustering
  • Intelligent vehicle
  • Mean shift
  • Road recognition

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