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초록
External airbag installed in vehicle can protect pedestrians and reduce injuries in the event of a crash. In this paper, a collision prediction system for external airbag using an interacting multiple model is proposed to detect a collision and inflates quickly enough to cushion the impact. The system includes two different models, constant velocity and constant acceleration, in order to estimate a distance between ego vehicle and front object. The integration of two models gives optimized object state estimation with low cost laser scanner and reduces the root mean squares error.
키워드
constant acceleration model; constant velocity model; external airbag; interacting multiple model; multirate Kalman filter; Constant acceleration; Constant velocity models; external airbag; Interacting multiple model; Multi rate; Accidents; Kalman filters; Automobile air bags
- 제목
- Collision prediction system for external airbag using an interacting multiple model estimation with multirate Kalman filter
- 저자
- Kang, Chang Mook; Son, Youngseop; Lee, Young Ok; Chung, Chung Choo; Lee, Seung-Hi
- 발행일
- 2012-12
- 유형
- Conference Paper
- 저널명
- International Conference on Control, Automation and Systems
- 페이지
- 878 ~ 882