by Klette, R, Jiang, R, Morales, S and Vaudrey, T
Abstract:
Applying computer technology, such as computer vision in driver assistance, implies that processes and data are modeled as being discretized rather than being continuous. The area of stereo vision provides various examples how concepts known in discrete mathematics (e.g., pixel adjacency graphs, belief propagation, dynamic programming, max-flow/min-cut, or digital straight lines) are applied when aiming for efficient and accurate pixel correspondence solutions. The paper reviews such developments for a reader in discrete mathematics who is interested in applied research (in particular, in vision-based driver assistance). As a second subject, the paper also discusses lane detection and tracking, which is a particular task in driver assistance; recently the Euclidean distance transform proved to be a very appropriate tool for obtaining a fairly robust solution. © 2009 Springer Berlin Heidelberg.
Reference:
Discrete driver assistance (Klette, R, Jiang, R, Morales, S and Vaudrey, T), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 5720 LNCS, 2009.
Bibtex Entry:
@inproceedings{klette2009discreteassistance,
author = "Klette, R and Jiang, R and Morales, S and Vaudrey, T",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1--12",
title = "Discrete driver assistance",
volume = "5720 LNCS",
year = "2009",
abstract = "Applying computer technology, such as computer vision in driver assistance, implies that processes and data are modeled as being discretized rather than being continuous. The area of stereo vision provides various examples how concepts known in discrete mathematics (e.g., pixel adjacency graphs, belief propagation, dynamic programming, max-flow/min-cut, or digital straight lines) are applied when aiming for efficient and accurate pixel correspondence solutions. The paper reviews such developments for a reader in discrete mathematics who is interested in applied research (in particular, in vision-based driver assistance). As a second subject, the paper also discusses lane detection and tracking, which is a particular task in driver assistance; recently the Euclidean distance transform proved to be a very appropriate tool for obtaining a fairly robust solution. © 2009 Springer Berlin Heidelberg.",
doi = "10.1007/978-3-642-03613-2_1",
isbn = "3642036120",
isbn = "9783642036125",
issn = "0302-9743",
eissn = "1611-3349",
keyword = "Discrete mathematics",
keyword = "Distance transform",
keyword = "Driver assistance",
keyword = "Lane detection",
keyword = "Stereo analysis",
language = "eng",
}