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A holistic decision-making framework for integrated safety

Mohsen Nosratinia (Institutionen för signaler och system, Antenner) ; Henrik Lind ; Stina Carlsson ; Niklas Mellegård (Institutionen för data- och informationsteknik (Chalmers))
Proceedings of the 2010 IEEE Intelligent Vehicles Symposium, IV 2010, San Diego, 21-24 June 2010 (1931-0587). p. 1028-1035 . (2010)
[Konferensbidrag, refereegranskat]

A Bayesian decision-theoretic decision-making framework for integrated vehicle safety systems is introduced. The framework tries to address the increasing need for introduction of optimal decision-making to integrated vehicle safety. The framework tries to capture all the interdependencies between systems in one optimisation problem by designing appropriate risk functions. This is achieved by incorporating driver behavior model and pre-crash occupant position tracking. New software methods and tools should also be developed to efficiently accommodate this. The framework, in general, leads to higher design flexibility and scalability.

Nyckelord: integrated vehicle safety, decision-making framework, driver behavior, occupant position, pre-crash, software methods

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Denna post skapades 2010-09-30. Senast ändrad 2013-07-16.
CPL Pubid: 127114


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Institutioner (Chalmers)

Institutionen för signaler och system, Antenner (2005-2014)
Institutionen för data- och informationsteknik (Chalmers)


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