by Schauwecker, K and Klette, R
Abstract:
Binocular vision combined with stereo matching algorithms can be used in vehicles to gather data of the spatial proximity. To utilize this data we propose a new method for modeling the vertical road profile from a disparity map. This method is based on a region-growing technique, which iteratively performs a least-squares fit of a B-spline curve to a region of selected points. We compare this technique to two variants of the v-disparity method using either an envelope function or a planarity assumption. Our findings are that the proposed road-modeling technique outperforms both variants of the v-disparity technique, for which the planarity assumption is slightly better than the envelope version. © 2011 Springer-Verlag Berlin Heidelberg.
Reference:
A comparative study of two vertical road modelling techniques (Schauwecker, K and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 6469 LNCS, 2011.
Bibtex Entry:
@inproceedings{schauwecker2011atechniques,
author = "Schauwecker, K and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "174--183",
title = "A comparative study of two vertical road modelling techniques",
volume = "6469 LNCS",
year = "2011",
abstract = "Binocular vision combined with stereo matching algorithms can be used in vehicles to gather data of the spatial proximity. To utilize this data we propose a new method for modeling the vertical road profile from a disparity map. This method is based on a region-growing technique, which iteratively performs a least-squares fit of a B-spline curve to a region of selected points. We compare this technique to two variants of the v-disparity method using either an envelope function or a planarity assumption. Our findings are that the proposed road-modeling technique outperforms both variants of the v-disparity technique, for which the planarity assumption is slightly better than the envelope version. © 2011 Springer-Verlag Berlin Heidelberg.",
doi = "10.1007/978-3-642-22819-3_18",
isbn = "9783642228186",
issn = "0302-9743",
eissn = "1611-3349",
issue = "PART 2",
language = "eng",
}