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231223s2006 xx ||||| 00| ||eng c |
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Toulminet, Gwenaëlle
|e verfasserin
|4 aut
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| 245 |
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|a Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis
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| 264 |
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|c 2006
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 12.09.2006
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| 500 |
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|a Date Revised 10.12.2019
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|a published: Print
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| 500 |
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|a Citation Status MEDLINE
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| 520 |
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|a This paper presents a stereo vision system for the detection and distance computation of a preceding vehicle. It is divided in two major steps. Initially, a stereo vision-based algorithm is used to extract relevant three-dimensional (3-D) features in the scene, these features are investigated further in order to select the ones that belong to vertical objects only and not to the road or background. These 3-D vertical features are then used as a starting point for preceding vehicle detection; by using a symmetry operator, a match against a simplified model of a rear vehicle's shape is performed using a monocular vision-based approach that allows the identification of a preceding vehicle. In addition, using the 3-D information previously extracted, an accurate distance computation is performed
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| 650 |
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|a Evaluation Study
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| 650 |
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|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Bertozzi, Massimo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mousset, Stéphane
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bensrhair, Abdelaziz
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Broggi, Alberto
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1997
|g 15(2006), 8 vom: 10. Aug., Seite 2364-75
|w (DE-627)NLM09821456X
|x 1057-7149
|7 nnns
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| 773 |
1 |
8 |
|g volume:15
|g year:2006
|g number:8
|g day:10
|g month:08
|g pages:2364-75
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|d 15
|j 2006
|e 8
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|h 2364-75
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