Abstract
Airbag in the cars plays an important role for the safety of occupants. However, Highway Traffic Safety report shows that many occupants are actually killed by wrong deployment of the airbags. For reducing risk caused by airbag, designing a smart airbag is an important issue. The present paper describes an occupant classification system, by which triggering of the airbag deployment can be controlled. The system consists of a pair of stereo cameras and a SVM classifier. Performance of the system shows its feasibility as a vision-based airbag controller.
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© 2004 Springer-Verlag Berlin Heidelberg
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Lee, HG., Kim, YG., Jang, MS., Lee, SJ.K.SJ., Park, GT. (2004). Occupant Classification for Smart Airbag Using Stereovision and Support Vector Machines. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_105
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DOI: https://doi.org/10.1007/978-3-540-28647-9_105
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22841-7
Online ISBN: 978-3-540-28647-9
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