NDLI: High precision road segmentation for cover level of forward view estimation via stereo camera

Content Provider	IEEE Xplore Digital Library
Author	Nor Khuzaimah Binti Amit, S. Aoki, Y.
Copyright Year	2015
Description	Author affiliation: Fac. of Sci. & Technol., Keio Univ., Yokohama, Japan (Aoki, Y.) \|\| Grad. Sch. of Integrated Design Eng., Keio Univ., Yokohama, Japan (Nor Khuzaimah Binti Amit, S.)
Abstract	To develop a safe Intelligent Transportation System (ITS) while driving on unpredictable curves or road regions, high precision road segmentation and cover level of forward view estimation for drivers is necessary. Cover level of forward view is defined as the level of difficulty in predicting the dangerousness of road edge or incoming object near road edge especially at a curve due to the obstacles at the surrounding. We focus on road segmentation as it is one of the fundamental steps in developing ITS. According to the previous studies, road region is not segmented precisely; hence a new method of road segmentation is introduced. Input images had undergone illuminant invariant space conversion to remove shadow regions effectively. Next, the bottom part of illuminant invariant image (assumed to be road surface) is sampled to get a road model, which is then applied to obtain the road probability image. Lastly, dilation and erosion using mathematical morphology operation is applied to obtain road region. Our method of road segmentation shows precision of 0.73, recall as 0.82 and F measure as 0.81. High Precision road segmentation is very important for better cover level of forward view estimation. Segmented road region can be fully utilized for curve estimation and obstacles detection and hence lead to a better performance of cover level of forward view. Based on the results obtained, further improvement in several aspects, especially from the input image or illuminant invariant image to road probability image, has to be done in order to obtain perfectly segmented road region.
Starting Page	1
Ending Page	6
File Size	2422046
Page Count	6
File Format	PDF
ISBN	9781479978625
DOI	10.1109/ASCC.2015.7244743
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-31
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	stereo camera Roads road segmentation Estimation road likelihood model Regions cover level of forward view Vehicles Image segmentation Image color analysis illuminant invariant image seed selection Cameras
Content Type	Text
Resource Type	Article

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