Latest revision as of 18:15, 28 January 2021

Abstract

In this paper we analyze the sensor and fusion schedules of a time-triggered, Kalman filter based, multi-sensor fusion system. The fusion system is used as an environmental perception platform for advanced driver assistance systems and delivers its service to a safety related application. As the application demands cyclic updates with bounded accuracy, the influence of the sensor and fusion schedules on the service accuracy is analysed, which enables us to optimize the system without model dependent simulations.

Original document

The different versions of the original document can be found in:

• http://wwwu.uni-klu.ac.at/welmenre/papers/mauthner-fusion07.pdf

• http://xplorestaging.ieee.org/ielx5/4407957/4407958/04408045.pdf?arnumber=4408045,

http://dx.doi.org/10.1109/icif.2007.4408045

• https://mobile.aau.at/~welmenre/papers/mauthner-fusion07.pdf,

http://wwwu.uni-klu.ac.at/welmenre/papers/mauthner-fusion07.pdf,

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004408045,

https://dblp.uni-trier.de/db/conf/fusion/fusion2007.html#MauthnerEK07,

https://ieeexplore.ieee.org/document/4408045,

https://academic.microsoft.com/#/detail/2074335270