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Artificial Intelligence och Intelligent Systems

SafeDriver: A Real Time Driver's State Monitoring and Prediction System

The proposed project will provide tools for the development of safety systems including a basis to continuously monitor and predict driver’s mental and physical (health) situation and based on these, can carry out suitable counter measurements to prevent/reduce accidents.

Concluded

Start

2014-01-01

Conclusion

2017-10-31

Main financing

The Swedish Knowledge Foundation

Collaboration partners

Karolinska Institutet, Autoliv, Hök instrument AB, Prevas AB, The Swedish National Road and Transport Research Institute, Volvo Cars

Project manager at MDH

Professor

Shahina Begum

+4621107370

shahina.begum@mdh.se

Description of the project

In order to prevent road crashes caused by human error it is very much necessary to develop systems that monitor factors such as alcohol, sleepiness, distraction, stress, and fatigue including physical health conditions. All these factors contribute to human errors and can result in accidents on the road.

The proposed project will provide tools for the development of safety systems including a basis to continuously monitor and predict driver’s mental and physical (health) situation and based on these, can carry out suitable counter measurements to prevent/reduce accidents. Due to the latest advances in car development, these solutions can be implemented in future cars. Also, people are more aware of their own safety than they were previously and such solutions will be welcomed gradually by more safety aware drivers.

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