A holistic decision-making framework for integrated safety
Paper i proceeding, 2010

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.

occupant position

software methods

decision-making framework

integrated vehicle safety

pre-crash

driver behavior

Författare

Mohsen Nosratinia

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Antennsystem

Henrik Lind

Volvo

Stina Carlsson

Volvo

Niklas Mellegård

Chalmers, Data- och informationsteknik, Software Engineering

Proceedings of the 2010 IEEE Intelligent Vehicles Symposium, IV 2010, San Diego, 21-24 June 2010

1931-0587 (ISSN)

1028-1035

Styrkeområden

Transport

Ämneskategorier

Data- och informationsvetenskap

Annan teknik

Farkostteknik

Inbäddad systemteknik

Datorsystem

DOI

10.1109/IVS.2010.5547975

ISBN

978-142447866-8