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Computer Vision-Based Terrain Sensors for Blind Wheelchair Users

  • James Coughlan
  • Roberto Manduchi
  • Huiying Shen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4061)

Abstract

We demonstrate computer vision techniques designed to aid blind or severely visually impaired wheelchair users. These techniques will be used to sense important features in nearby terrain from images collected by cameras mounted rigidly to the wheelchair. They will assist in the detection of hazards such as obstacles and drop-offs ahead of or alongside the chair, as well as detecting veer, finding curb cuts, finding a clear path, and maintaining a straight course. The resulting information is intended ultimately to be integrated with inputs from other sensors and communicated to the traveler using synthesized speech and/or audible tones and tactile cues, supplementing rather than replacing the user’s existing cane, guide dog and wayfinding skills.

Keywords

Ground Plane Obstacle Detection Wheelchair User Laser Striper IEEE Intelligent Vehicle Symposium 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • James Coughlan
    • 1
  • Roberto Manduchi
    • 2
  • Huiying Shen
    • 1
  1. 1.Smith-Kettlewell Eye Research InstituteSan FranciscoUSA
  2. 2.Dept. of Computer EngineeringUniv. of California at Santa CruzUSA

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