LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-Driving Mode
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.
Cite
Text
Minhas et al. "LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-Driving Mode." European Conference on Computer Vision, 2016. doi:10.1007/978-3-319-49409-8_73Markdown
[Minhas et al. "LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-Driving Mode." European Conference on Computer Vision, 2016.](https://mlanthology.org/eccv/2016/minhas2016eccv-lee/) doi:10.1007/978-3-319-49409-8_73BibTeX
@inproceedings{minhas2016eccv-lee,
title = {{LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-Driving Mode}},
author = {Minhas, Saad and Hernández-Sabaté, Aura and Ehsan, Shoaib and Díaz-Chito, Katerine and Leonardis, Ales and López, Antonio M. and McDonald-Maier, Klaus D.},
booktitle = {European Conference on Computer Vision},
year = {2016},
pages = {894-900},
doi = {10.1007/978-3-319-49409-8_73},
url = {https://mlanthology.org/eccv/2016/minhas2016eccv-lee/}
}