[Updated on Apr. 18] Integration of CiNii Articles into CiNii Research

5-1 Color Vision for Road Following(Session 5 : Utilization of Computers,SIMAP'88 Proceedings of International Symposium on Strategy of Innovation in Materials Processing-New Challenge for the 21st Century-)

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Abstract

This paper discusses the research conducted at CMU in several topic areas: increasing the dynamic range of current cameras to better handle outdoor scenes, detecting roads in heavily shadowed scenes and in rapidly changing illumination, and identifying intersections. This research is necessary to add new capabilities to our road following vision system. We built a new system, using the results from our research, that could identify roads and intersections in shaded scenes. We also transferred some of our algorithms to the WARP, an experimental supercomputer developed at CMU, to test the capabilities of current parallel machines.

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Details

  • CRID
    1570572702325069184
  • NII Article ID
    110006486793
  • NII Book ID
    AA00867058
  • ISSN
    03874508
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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