Back to articles
Articles
Volume: 30 | Article ID: art00007
Image
Auto-simulator Preparation for Research into Assessing the Correlation Between Human Driving Behaviors and Fixation Patterns
  DOI :  10.2352/ISSN.2470-1173.2018.17.AVM-163  Published OnlineJanuary 2018
Abstract

Autonomous driving has the potential to positively impact the daily life of humans. Techniques such as imaging processing, computer vision, and remote sensing have been highly involved in creating reliable and secure robotic cars. Conversely, the interaction between human perception and autonomous driving has not been deeply explored. Therefore, the analysis of human perception during the cognitive driving task, while making critical driving decisions, may provide great benefits for the study of autonomous driving. To achieve such an analysis, eye movement data of human drivers was collected with a mobile eye-tracker while driving in a automotive simulator built around an actual physical car, that mimics a realistic driving experience. Initial experiments have been performed to investigate the potential correlation between the driving behaviors and fixation patterns of the human driver.

Subject Areas :
Views 10
Downloads 2
 articleview.views 10
 articleview.downloads 2
  Cite this article 

Mingming Wang, Kate Walders, Martin E. Gordon, Jeff B. Pelz, Susan Farnand, "Auto-simulator Preparation for Research into Assessing the Correlation Between Human Driving Behaviors and Fixation Patternsin Proc. IS&T Int’l. Symp. on Electronic Imaging: Autonomous Vehicles and Machines,  2018,  pp 163-1 - 163-6,  https://doi.org/10.2352/ISSN.2470-1173.2018.17.AVM-163

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2018
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology