ProjectDRAMA - Driver and passenger activity mapping

DRAMA - Driver and passenger activity mapping

The DRAMA project develops knowledge within driver activity mapping to improve interaction between semi-automated and automated vehicles and human drivers and passengers - with the overall goal to improve traffic safety and driver/passenger comfort. With correct classifications of what the driver is doing, the human-machine interaction can be directed to the most suitable modality (visual/audio/haptic) at each moment. If the car knows the full body position (sitting, lying, twisted to the back-seat, leaning to the side, etc) of its passengers, the safety functions can be adapted to the in-the-moment best deployment of for example airbags, steering, brake and crash avoidance patterns. The decision if the vehicle can do a hand- over, or should perform a safe stop can be determined based on in-vehicle activity and driver attention/disengagement in the driving task.

We expect to find methods/algorithms/tools that can be used to map driver body posture/facial expressions etc. and to combine them in models that can describe the driver behaviour/activity. The project will also perform research and implement a concept for a camera-based data acquisition system to be able to capture the behaviour.

The project partners are RISE Viktoria and SmartEye and is financed by Vinnova FFI and runs between March 1st 2018 and February 29th 2020.