Out-of-sequence measurement processing for an automotive pre-crash application | IEEE Conference Publication | IEEE Xplore

Out-of-sequence measurement processing for an automotive pre-crash application


Abstract:

In this paper, the merits of incorporating out-of-sequence measurements (OOSM) into a Pre-Crash application are investigated. When an imminent front crash is detected by ...Show More

Abstract:

In this paper, the merits of incorporating out-of-sequence measurements (OOSM) into a Pre-Crash application are investigated. When an imminent front crash is detected by the Pre-Crash system, the algorithm activates a reversible seat belt tightening system. This paper points out that simple buffering is not applicable in most time critical applications such as Pre-Crash. It is crucial to have sufficiently accurate tracking information without any buffering delays, especially in urban traffic scenarios. Furthermore, the existing OOSM algorithm from Bar-Shalom [1] for the 1-step-lag case is extended to support Joint Probabilistic Data Association (JPDA). A comprehensive evaluation on simulated as well as on real sensor data is presented.
Date of Conference: 04-07 October 2009
Date Added to IEEE Xplore: 06 November 2009
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Conference Location: St. Louis, MO, USA

References

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