Enhanced Disparity Computation for ADAS Applications
Abstract
Many of ADAS applications such as pedestrian and vehicle detection are using stereo vision. By computing the well-known disparity the range of objects ahead of the car can be determined. According to the computed range, it is possible to iden- tify whether this object is in a collision position or not. Based on the chain code algorithm a new disparity computation method is introduced. The proposed method enhances obviously the delivered disparity values as well as the object segmentation results by integrating the segmentation into the disparity assignment step.
- Citation
- BibTeX
Fardi, B., Abbas, A. & Wanielik, G.,
(2007).
Enhanced Disparity Computation for ADAS Applications.
In:
Herzog, O., Rödiger, K.-H., Ronthaler, M. & Koschke, R.
(Hrsg.),
Informatik 2007 – Informatik trifft Logistik – Band 2.
Bonn:
Gesellschaft für Informatik e. V..
(S. 135-139).
@inproceedings{mci/Fardi2007,
author = {Fardi, Basel AND Abbas, Ammar AND Wanielik, Gerd},
title = {Enhanced Disparity Computation for ADAS Applications},
booktitle = {Informatik 2007 – Informatik trifft Logistik – Band 2},
year = {2007},
editor = {Herzog, Otthein AND Rödiger, Karl-Heinz AND Ronthaler, Marc AND Koschke, Rainer} ,
pages = { 135-139 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
author = {Fardi, Basel AND Abbas, Ammar AND Wanielik, Gerd},
title = {Enhanced Disparity Computation for ADAS Applications},
booktitle = {Informatik 2007 – Informatik trifft Logistik – Band 2},
year = {2007},
editor = {Herzog, Otthein AND Rödiger, Karl-Heinz AND Ronthaler, Marc AND Koschke, Rainer} ,
pages = { 135-139 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-206-1
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2007
Language: (en)
Content Type: Text/Conference Paper