Dataset for Drivers’ Manoeuvre Prediction for Safe HRI

We are looking at human-robot interaction problems, in particular, at the actions of a human inside a car. This will be of importance as cars are going to autonomous. Thus, data are going to be collected which allow the characterisation and prediction of actions of humans in a simulated car environment. The data are all anonymised and the experimental procedure has been design and has passed the strict formal ethical assessment procedures of the School of Experimental Psychology.

Academics involved: Dr Ute Leonards, School of Experimental Psychology; Dr Guido Herrman, Department of Mechanical Engineering

Postgraduate Researcher: Erwin Lopez