@inproceedings{63c614b111f74d9a891f950dd2260caa,
title = "Saliency map based analysis for prediction of car driving difficulty in Google street view scenes",
abstract = "The paper describes how the saliency maps - computational models of visual attention can be used to predict car driving difficulty. The peak number and areas are analyzed for the images are obtained from Google Street View. As a ground truth the crowd sourced average human responses on the speed and subjective driving difficulty are used.",
author = "Przemys{\l}aw Skurowski and Marcin Paszkuta",
note = "Publisher Copyright: {\textcopyright} 2018 Author(s).; International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017 ; Conference date: 25-09-2017 Through 30-09-2017",
year = "2018",
month = jul,
day = "10",
doi = "10.1063/1.5043761",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Charalambos Tsitouras and Theodore Simos and Theodore Simos and Theodore Simos and Theodore Simos and Theodore Simos",
booktitle = "International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2017",
address = "United States",
}