@inproceedings{92ef9603468b4e9db683752ff067147c,
title = "Collision prediction system for external airbag using an interacting multiple model estimation with multirate Kalman filter",
abstract = "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.",
keywords = "constant acceleration model, constant velocity model, external airbag, interacting multiple model, multirate Kalman filter",
author = "Kang, {Chang Mook} and Youngseop Son and Lee, {Young Ok} and Chung, {Chung Choo} and Lee, {Seung Hi}",
year = "2012",
language = "English",
isbn = "9781467322478",
series = "International Conference on Control, Automation and Systems",
pages = "878--882",
booktitle = "ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems",
note = "2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 ; Conference date: 17-10-2012 Through 21-10-2012",
}