Anaïs Halin graduated from the University of Liège (ULiège) in 2017 with a master’s degree in Electrical Engineering and from HEC Liège in 2020 with a master’s degree in Management, has been since 2017 a PhD student in the Electrical Engineering Computer Science department of ULiège.
This young doctoral student affiliated with TRAIL, works in the fields of driver monitoring and driving automation. She has recently published an article (https://www.mdpi.com/1424-8220/21/16/5558) and made a video on the subject (https://youtu.be/d9IKIvrwlVQ). She explains, among others, how to characterize the state of drivers using indicators and sensors, as well as the joint role of driver monitoring and driving automation. The notion of indicators, which she introduced and rigorously defined, is an enabler towards explainability of systems.
Thanks to Artificial Intelligence, we can dream of one day having a fully autonomous car which would dramatically improve road safety, reduce congestion, lower emissions, and make traveling more comfortable.
But until we overcome the technological and regulatory challenges that stand between us and that potential future, we need, according to Anaïs Halin, to develop driver monitoring systems tailored to each level of driving automation. This work must be done to ensure that drivers are able to drive or regain control safely, and, if necessary, to issue alarms, or to delegate some or all of the driving task to the automation.