, T.
, Takeucki, A.
, Foedisch, M.
and Shneier, M.
(2004),
Performance Evaluation of Road Detection and Following Systems, Mobile Robots 2004 | 17th | Proceedings of SPIE--the International Society for Optical Engineering | SPIE, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823525
(Accessed April 19, 2024)
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Performance Evaluation of Road Detection and Following Systems
Published
Author(s)
, A Takeucki, ,
Abstract
We describe a methodology for evaluating algorithms to provide quantitative information about how well road detection and road following algorithms perform. The approach relies on generating a set of standard data sets annotated with ground truth. We evaluate the algorithms used to detect roads by comparing the output of the algorithms with ground truth, which we obtain by having humans annotate the data sets used to test the algorithms. Ground truth annotations are acquired from more than one person to reduce systematic errors. Results are quantified by looking at false positive and false negative regions of the image sequences when compared with the ground truth. We describe the evaluation of a number of variants of a road detection system based on neural networks.Proceedings Title
Mobile Robots 2004 | 17th | Proceedings of SPIE--the International Society for Optical Engineering | SPIE
Volume
5609
Conference Dates
October 26-28, 2004
Conference Title
Proceedings of SPIE--the International Society for Optical Engineering
Pub Type
Conferences
Download Paper
Keywords
false negative, false positive, ground truth, performance evaluation, road detection, road following
Citation
Created October 1, 2004, Updated February 17, 2017