Dataset for Drivers’ Manoeuvre Prediction for Safe HRI

Dataset

Description

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
Date made available1 Oct 2018
PublisherUniversity of Bristol

Keywords

  • HRI
  • Autonomous Vehicles
  • Machine Learning
  • Prediction
  • Classification

Cite this

Leonards, U. (Creator), Herrmann, G. (Creator), Lopez, E. (Creator) (1 Oct 2018). Dataset for Drivers’ Manoeuvre Prediction for Safe HRI. University of Bristol. 10.5523/bris.199qy8kf5h7b42x3izt3gpm674