Encoding Human Driving Styles in Motion Planning for Autonomous Vehicles
Jesper Karlsson Sanne van Waveren Christian Pek Ilaria Torre Iolanda Leite Jana Tumova Jesper Karlsson Sanne van Waveren Christian Pek Ilaria Torre Iolanda Leite Jana Tumova
Driving styles play a major role in the acceptance and use of autonomous vehicles. Yet, existing motion planning techniques can often only incorporate simple driving styles that are modeled by the developers of the planner and not tailored to the passenger. We present a new approach to encode human driving styles through the use of signal temporal logic and its robustness metrics. Specifically, we...