Driver’s Eye Fixation Prediction by Deep Neural Network

Mohsen Shirpour, Steven Beauchemin, Michael Bauer

Abstract

The driving environment is a complex dynamic scene in which a driver’s eye fixation interacts with traffic scene objects to protect the driver from dangerous situations. Prediction of a driver’s eye fixation plays a crucial role in Advanced Driving Assistance Systems (ADAS) and autonomous vehicles. However, currently, no computational framework has been introduced to combine the bottom-up saliency map with the driver’s head pose and gaze direction to estimate a driver’s eye fixation. In this work, we first propose convolution neural networks to predict the potential saliency regions in the driving environment, and then use the probability of the driver gaze direction, given head pose as a top-down factor. We evaluate our model on real data gathered during drives in an urban and suburban environment with an experimental vehicle. Our analyses show promising results.

Download


Paper Citation


in Harvard Style

Shirpour M., Beauchemin S. and Bauer M. (2021). Driver’s Eye Fixation Prediction by Deep Neural Network.In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-488-6, pages 67-75. DOI: 10.5220/0010220800670075


in Bibtex Style

@conference{visapp21,
author={Mohsen Shirpour and Steven Beauchemin and Michael Bauer},
title={Driver’s Eye Fixation Prediction by Deep Neural Network},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2021},
pages={67-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010220800670075},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Driver’s Eye Fixation Prediction by Deep Neural Network
SN - 978-989-758-488-6
AU - Shirpour M.
AU - Beauchemin S.
AU - Bauer M.
PY - 2021
SP - 67
EP - 75
DO - 10.5220/0010220800670075