NDLI: A roadwork scene signature based on the opponent colour model

Content Provider	IEEE Xplore Digital Library
Author	Mathibela, B. Posner, I. Newman, P.
Copyright Year	2013
Abstract	The presence of roadworks greatly affects the validity of prior maps used for navigation by autonomous vehicles. This paper addresses the problem of quickly and robustly assessing the gist of traffic scenes for whether roadworks might be present. Without explicitly modelling individual roadwork indicators such as traffic cones, construction barriers or traffic signs, our method instead only exploits the engineered visual saliency of such objects. We draw inspiration from opponent colour vision in humans to formulate a novel roadwork scene signature based on an opponent spatial prior combined with gradient information. Finally, we apply our roadwork scene signature to the task of roadwork scene recognition, within a classification framework based on soft assignment vec-torization and RUSBoost. We evaluate our roadwork signature on real life data from our autonomous vehicle.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	4394
Ending Page	4400
File Size	1544232
Page Count	7
File Format	PDF
ISSN	21530858
DOI	10.1109/IROS.2013.6696987
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Visualization Color Vectors Computational modeling Histograms Roads
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software

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