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Semi-autonomous wheelchair system using stereoscopic cameras.

Jordan S Nguyen1, Thanh H Nguyen, Hung T Nguyen

  • 1Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, NSW, Australia. Jordan.Nguyen@uts.edu.au

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary

This study introduces a semi-autonomous wheelchair system with stereoscopic cameras for hands-free control. It enables automated obstacle detection and path planning, enhancing mobility for disabled individuals.

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Area of Science:

  • Robotics
  • Computer Vision
  • Assistive Technology

Background:

  • Severely disabled individuals often require advanced mobility solutions.
  • Hands-free control technologies are crucial for enhancing independence.

Purpose of the Study:

  • To design and develop a semi-autonomous wheelchair system.
  • To utilize stereoscopic cameras for enhanced navigation and control.

Main Methods:

  • Employing stereoscopic cameras for image capture.
  • Implementing Sum of Absolute Differences (SAD) algorithm for stereo correspondence.
  • Utilizing geometric projection for 3D point map generation and 2D depth map creation.

Main Results:

  • Successful automated obstacle detection and path planning.

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  • Effective collision avoidance during indoor navigation.
  • Demonstrated the system's effectiveness in an indoor environment.

    • Conclusions:

    • The developed semi-autonomous wheelchair system shows significant promise.
    • Stereoscopic camera technology enhances assistive navigation capabilities.
    • This technology can improve the quality of life for severely disabled individuals.