Driver-in-the-loop system design for automotives

Advanced driver assistance systems are key to enhancing road safety. One of the critical requirements for such systems is to reliably perceive the environment. The state-of-the-art sensors, however, are not ubiquitously deployed in driver assistance systems due to their high cost. On the other hand, simpler low-cost sensing solutions suffer from poor perception. 

In this project, you will address this gap by combining sensing capacities of the human driver and the driver assistance system, to develop sensing solutions that are both affordable and reliable. Your aim will be to develop signal processing algorithms and interfaces to incorporate driver in the sensing loop of automated driver assistance systems. Your work will leverage the unique cognitive abilities of humans controlling these systems to process complex signals and make informed real-time decisions. The project will lay the foundations for understanding how human interaction with signal processing systems impacts transparency and ethical considerations in deploying hybrid human-in-the-loop solutions.

In this project, you will be able to develop your skills in designing innovative human-in-the loop sensing solutions, rapid prototyping, and evaluation of your solutions in driving simulator experiments with human participants. You will work together with Dr. Nitin Myers from the Delft Center for Systems and Control, and Dr. Arkady Zgonnikov from the Department of Cognitive Robotics at TU Delft.