Vision based automatic occupant classification and pose recognition for smart airbag deployment

Authors:
Min-Soo Jang;Yong-Guk Kim;Sang-Jun Kim;Jeong-Eom Lee;Soek-Joo Lee;Gwi-Tae Park
Affiliations:
Dept. of Electrical Engineering, Korea University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;Dept. of Electrical Engineering, Korea University, Seoul, Korea;Dept. of Electrical Engineering, Korea University, Seoul, Korea;Hyundai Autonet Co., Korea;Dept. of Electrical Engineering, Korea University, Seoul, Korea
Venue:
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Year:
2005

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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.