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A Stereovision Based Advanced Airbag System

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4251))

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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.

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References

  1. National Highway Traffic Safety Administration. Air Bag Fatal and Serious Injury Summary Reports, http://www-nrd.nhtsa.dot.gov/departments/nrd-30/ncsa/TextVer/SCI.html

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  4. Jang, M.-S., et al.: Vision Based Automatic Occupant Classification and Pose Recognition for Smart Airbag Deployment. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds.) EUROCAST 2005. LNCS, vol. 3643, pp. 410–415. Springer, Heidelberg (2005)

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  5. http://www.csie.ntu.edu.tw/~cjlin/libsvm/index.html

  6. Di Stefano, L., Mattoccia, S.: Fast Stereo Matching for the VIDET System Using a General Purpose Processor with Multimedia Extensions. In: IEEE International workshop on Computer Architecture for Machine Perception, pp.356–362 (2000)

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© 2006 Springer-Verlag Berlin Heidelberg

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Lee, SJ., Kim, YG., Jang, MS., Lee, HG., Park, GT. (2006). A Stereovision Based Advanced Airbag System. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_71

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  • DOI: https://doi.org/10.1007/11892960_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46535-5

  • Online ISBN: 978-3-540-46536-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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