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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/bigcom...
Article . 2019 . Peer-reviewed
License: IEEE Copyright
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https://dx.doi.org/10.1109/big...
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Roadway Image Preprocessing for Deep Learning-Based Driving Scene Understanding

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Feb 2019Publisher:IEEEJournal:2019 IEEE International Conference on Big Data and Smart Computing (BigComp)
Authors: Kyeong-sik Park; Sung-Su Jang; Hyeok-June Jeong; Young-Guk Ha;

doi: 10.1109/bigcomp.2019.8679168

Roadway Image Preprocessing for Deep Learning-Based Driving Scene Understanding

Abstract

In this paper, a road lane is detected as a reference point in a road driving image, and the objects that are likely to affect the driving situation are detected depending on a reference point, and then the remaining objects are excluded from the road driving situation recognition. In addition, we propose a method of mapping to Bird's Eye View as a normalization method to uniformly express the positions of objects irregularly appearing on each road driving image based on these reference points. As a result, the accuracy of 97.66% was obtained as a result of the experiment on the road driving situation recognition by the proposed method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
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