@InProceedings{SaadMinhas2016,
author="Saad Minhas
and Aura Hernandez-Sabate
and Shoaib Ehsan
and Katerine Diaz
and Ales Leonardis
and Antonio Lopez
and Klaus McDonald Maier",
title="LEE: A photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-Driving Mode",
booktitle="14th European Conference on Computer Vision Workshops",
year="2016",
volume="9915",
pages="894--900",
optkeywords="Simulation environment",
optkeywords="Automated Driving",
optkeywords="Driver-Vehicle interaction",
abstract="Photorealistic virtual environments are crucial for developing and testing automated driving systems in a safe way during trials. As commercially available simulators are expensive and bulky, this paper presents a low-cost, extendable, and easy-to-use (LEE) virtual environment with the aim to highlight its utility for level 3 driving automation. In particular, an experiment is performed using the presented simulator to explore the influence of different variables regarding control transfer of the car after the system was driving autonomously in a highway scenario. The results show that the speed of the car at the time when the system needs to transfer the control to the human driver is critical.",
optnote="ADAS;IAM; 600.085; 600.076",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2865), last updated on Fri, 26 Feb 2021 14:22:53 +0100",
file=":http://refbase.cvc.uab.es/files/MHE2016.pdf:PDF"
}