• “The problem of complacent safety drivers is going to be a problem for every company.”

    This is an issue not just for SDCs and AVs but increasingly for all advanced motorcars given the power of their ADAS. The solution that I have been advocating is to sense the affective state of the driver. This can be done contactless by measuring the micro movements of the driver's body.

  • Indeed, there's plenty of eye-tracking technology out there.

    Just need the equivalent of a dead man's switch in the car. If the safety driver doesn't pay enough attention then warnings sound, still not looking and the car pulls over and stops. Too many warnings sound on a journey and it's dealt with as a disciplinary matter.

  • Should have that in every car.

  • There are issues of so-called cognitive loading.. Many studies have clearly indicated that low driver workload is likely to induce drowsiness in drivers.

    Indeed, there's plenty of eye-tracking technology out there.

    Actually gaze tracking is not a good solution. It is not only extremely difficult to track gaze in a "any driver", "any lighting condition" setting-- pupil reflections etc. are non-trivial-- but people can track objects despite being cognitively "elsewhere". Hand on heart.. How many of us have not slept in a lecture with our eyes open trying to look awake?

    I know a few companies trying to do facial expression recognition-- Affectiva is probably the most famous of the lot-- but it too is, in my opinion, sub-optimal as, despite Eckman's belief, it is quite culturally biased (Affectiva addresses the bias by using modified models for different countries but this is not terribly good. They assume that immigrant communities are never isolated and rapidly adopt local cues)

    I have been mentoring a start-up to sense driver state by measuring their vibrations-- similar to many ways to Ballistocardiography. These movements can be, for example, contactless sensed using accelerometers, sub-THz radar or even cameras.

    Beyond drowiness I'm also interested in states such as fear and anger which might result in sub-optimal disengagements.

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