A holistic decision-making framework for integrated safety
Paper in 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.

decision-making framework

software methods


driver behavior

integrated vehicle safety

occupant position


Mohsen Nosratinia

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Henrik Lind

Volvo Cars

Stina Carlsson

Volvo Cars

Niklas Mellegård

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

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

1931-0587 (ISSN)

978-142447866-8 (ISBN)

Areas of Advance


Subject Categories

Computer and Information Science

Other Engineering and Technologies

Vehicle Engineering

Embedded Systems

Computer Systems





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