Ground truth and performance evaluation of lane border detection


by A Al-Sarraf, B-S Shin, Z Xu, R Klette
Abstract:
Lane-border detection is one of the best-developed modules in vision-based driver assistance systems today. However, there is still a need for further improvement for challenging road and traffic situations, and a need to design tools for quantitative performance evaluation.This paper discusses and refines a previously published method to generate ground truth for lane markings from recorded video, applies two lane-detection methods to such video data, and then illustrates the proposed performance evaluation by comparing calculated ground truth with detected lane positions. This paper also proposes appropriate performance measures that are required to evaluate the proposed method.
Reference:
Ground truth and performance evaluation of lane border detection (A Al-Sarraf, B-S Shin, Z Xu, R Klette), In Computer Vision and Graphics, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, volume 8671, 2014.
Bibtex Entry:
@inproceedings{al-sarraf2014grounddetection,
author = "Al-Sarraf, A and Shin, B-S and Xu, Z and Klette, R",
booktitle = "Computer Vision and Graphics, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
organization = "Warsaw, Poland",
pages = "66--74",
publisher = "Springer Verlag",
title = "Ground truth and performance evaluation of lane border detection",
volume = "8671",
year = "2014",
abstract = "Lane-border detection is one of the best-developed modules in vision-based driver assistance systems today. However, there is still a need for further improvement for challenging road and traffic situations, and a need to design tools for quantitative performance evaluation.This paper discusses and refines a previously published method to generate ground truth for lane markings from recorded video, applies two lane-detection methods to such video data, and then illustrates the proposed performance evaluation by comparing calculated ground truth with detected lane positions. This paper also proposes appropriate performance measures that are required to evaluate the proposed method.",
startyear = "2014",
startmonth = "Sep",
startday = "15",
finishyear = "2014",
finishmonth = "Sep",
finishday = "17",
issn = "0302-9743",
eissn = "1611-3349",
language = "eng",
conference = "International Conference, ICCVG 2014",
}