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

Alternative title Dataset for (DMP-for-SHRI) IROS 2018
Creator(s) Ute Leonards, Guido Herrmann, Erwin Lopez
Publication date 10 Oct 2018
Language eng
Publisher University of Bristol
Licence Non-Commercial Government License for public sector information
DOI 10.5523/bris.199qy8kf5h7b42x3izt3gpm674
Complete download (zip) https://data.bris.ac.uk/datasets/199qy8kf5h7b42x3izt3gpm674/199qy8kf5h7b42x3izt3gpm674.zip
Citation Ute Leonards, Guido Herrmann, Erwin Lopez (2018): Dataset for Drivers’ Manoeuvre Prediction for Safe HRI. https://doi.org/10.5523/bris.199qy8kf5h7b42x3izt3gpm674
Total size 40.1 MiB

Data Resources