Scipediacontent: Scipediacontent moved page Draft Content 719055163 to Sanberg et al 2014a

2021-02-01T22:32:48Z

Scipediacontent moved page Draft Content 719055163 to Sanberg et al 2014a

Scipediacontent: Created page with " == Abstract == This work concentrates on vision processing for Advanced Driver Assistance Systems (ADAS) and intelligent vehicle applications. The authors propose a color ex..."

2021-02-01T22:32:43Z

Created page with " == Abstract == This work concentrates on vision processing for Advanced Driver Assistance Systems (ADAS) and intelligent vehicle applications. The authors propose a color ex..."

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== Abstract ==

This work concentrates on vision processing for Advanced Driver Assistance Systems (ADAS) and intelligent vehicle applications. The authors propose a color extension to the disparity-based Stixel World method, so that the road can be robustly distinguished from obstacles with respect to erroneous disparity measurements. The authors extension learns color appearance models for road and obstacle classes in an online and self-supervised fashion. The algorithm is tightly integrated within the core of the optimization process of the original Stixel World, allowing for strong fusion of the disparity and color signals. The authors perform an extensive evaluation, including different self-supervised learning strategies and different color models. The authors newly recorded, publicly available data set is intentionally focused on challenging traffic scenes with many low-texture regions, causing numerous disparity artifacts. In this evaluation, the authors increase the F-score of the drivable distance from 0.86 to 0.97, compared to a tuned version of the state-of-the-art baseline method. This clearly shows that the authors color extension increases the robustness of the Stixel World, by reducing the number of falsely detected obstacles while not deteriorating the detection of true obstacles.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1109/itsc.2014.6957883 http://dx.doi.org/10.1109/itsc.2014.6957883]

* [https://pure.tue.nl/ws/files/3963404/564364893886853.pdf https://pure.tue.nl/ws/files/3963404/564364893886853.pdf]

* [https://research.tue.nl/nl/publications/extending-the-stixel-world-with-online-selfsupervised-color-modeling-for-roadversusobstacle-segmentation(0c6042fd-1f4c-43f7-91ab-8e4f7bc5019a).html https://research.tue.nl/nl/publications/extending-the-stixel-world-with-online-selfsupervised-color-modeling-for-roadversusobstacle-segmentation(0c6042fd-1f4c-43f7-91ab-8e4f7bc5019a).html]

* [http://xplorestaging.ieee.org/ielx7/6948869/6957655/06957883.pdf?arnumber=6957883 http://xplorestaging.ieee.org/ielx7/6948869/6957655/06957883.pdf?arnumber=6957883],
: [http://dx.doi.org/10.1109/itsc.2014.6957883 http://dx.doi.org/10.1109/itsc.2014.6957883]

* [https://dblp.uni-trier.de/db/conf/itsc/itsc2014.html#SanbergDW14 https://dblp.uni-trier.de/db/conf/itsc/itsc2014.html#SanbergDW14],
: [https://pure.tue.nl/ws/files/3963404/564364893886853.pdf https://pure.tue.nl/ws/files/3963404/564364893886853.pdf],
: [https://trid.trb.org/view/1349213 https://trid.trb.org/view/1349213],
: [https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F0c6042fd-1f4c-43f7-91ab-8e4f7bc5019a https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F0c6042fd-1f4c-43f7-91ab-8e4f7bc5019a],
: [http://willemsanberg.net/uploads/publications/Sanberg2014_ITSC.pdf http://willemsanberg.net/uploads/publications/Sanberg2014_ITSC.pdf],
: [https://ieeexplore.ieee.org/document/6957883 https://ieeexplore.ieee.org/document/6957883],
: [https://research.tue.nl/en/publications/extending-the-stixel-world-with-online-self-supervised-color-mode https://research.tue.nl/en/publications/extending-the-stixel-world-with-online-self-supervised-color-mode],
: [https://academic.microsoft.com/#/detail/2028606404 https://academic.microsoft.com/#/detail/2028606404]

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Sanberg et al 2014a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 719055163 to Sanberg et al 2014a

Scipediacontent: Created page with " == Abstract == This work concentrates on vision processing for Advanced Driver Assistance Systems (ADAS) and intelligent vehicle applications. The authors propose a color ex..."