Paper Info
Title
Ground Truth And Performance Evaluation Of Lane Border Detection
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.
Year
DOI
Venue
2014
10.1007/978-3-319-11331-9_9
COMPUTER VISION AND GRAPHICS, ICCVG 2014
Field
DocType
Volume
Computer vision,Preemption,Computer science,Advanced driver assistance systems,Ground truth,Lane detection,Artificial intelligence
Conference
8671
ISSN
Citations 
PageRank 
0302-9743
2
0.37
References 
Authors
8
4
Name
Order
Citations
PageRank
Ali Al-Sarraf120.37
Bok-Suk Shin2689.27
Zezhong Xu3667.12
Reinhard Klette41743228.94