Abstract
Airbags have been saved thousands of lives and reduced the number of serious injuries from collisions. However, the car occupant can be often hurt, or killed, by the airbag itself. For reducing the risk caused by airbag, designing a smart airbag is an important issue. This paper presents a vision based automatic system that can control triggering and intensity of airbag deployment. The system consists of an occupant classification system and an occupant pose recognition system, by which we aim to control whether the airbag should be triggered or not, and how strongly it should be deployed when it is triggered. Results suggest that the system is feasible as a vision based airbag controller.
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Jang, MS., Kim, YG., Kim, SJ., Lee, JE., Lee, SJ., Park, GT. (2005). Vision Based Automatic Occupant Classification and Pose Recognition for Smart Airbag Deployment. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2005. EUROCAST 2005. Lecture Notes in Computer Science, vol 3643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556985_54
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DOI: https://doi.org/10.1007/11556985_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29002-5
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