A collaborative control framework for driver assistance systems | IEEE Conference Publication | IEEE Xplore

A collaborative control framework for driver assistance systems


Abstract:

This paper proposes a driver assistance system with a collaborative control framework between the human driver and a Collision Avoidance System (CAS) for vehicles on the ...Show More

Abstract:

This paper proposes a driver assistance system with a collaborative control framework between the human driver and a Collision Avoidance System (CAS) for vehicles on the road while considering the driver drowsiness status. Driver drowsiness detection is performed with two inputs: driver's facial data from a camera mounted in front of the driver and steering wheel data from the car controller system. We use the driver's drowsiness state as an input to the collaborative control framework in which the CAS algorithm runs in parallel with the human control and only intervenes under certain situations to assist the human driver. Experiments were performed on a simulated vehicle driving testbed to evaluate our drowsiness detection system and demonstrate the effectiveness of the proposed collaborative control framework.
Date of Conference: 29 May 2017 - 03 June 2017
Date Added to IEEE Xplore: 24 July 2017
ISBN Information:
Conference Location: Singapore

Contact IEEE to Subscribe

References

References is not available for this document.