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A Stereovision Based Advanced Airbag System

  • Seok-Joo Lee
  • Yong-Guk Kim
  • Min-Soo Jang
  • Hyun-Gu Lee
  • Gwi-Tae Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)

Abstract

Occupant classification in the car is an essential issue for an advanced airbag system. The present paper describes a stereovision based occupant classification system (OCS) within an embedded system, by which triggering of the airbag deployment can be intelligently controlled. The embedded system consists of dual Digital Signal Processors; one is for stereo matching algorithm and the other is for calculating an SVM algorithm for the OCS. Performance was evaluated using our stereo image database. Results suggest that the system is satisfactory as an embedded OCS system.

Keywords

Embed System Occupant Classification Stereo Match Passenger Seat Stereo Match Algorithm 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Seok-Joo Lee
    • 1
    • 3
  • Yong-Guk Kim
    • 2
  • Min-Soo Jang
    • 1
  • Hyun-Gu Lee
    • 1
  • Gwi-Tae Park
    • 1
  1. 1.Dept. of Electrical EngineeringKorea UniversitySeoulKorea
  2. 2.School of Computer EngineeringSejong UniversitySeoulKorea
  3. 3.Hyundai Autonet Co. Ltd.Korea

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