All weather road edge identification based on driving video mining

If you need an accessible version of this item, please submit a remediation request.
Date
2017
Language
English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
IEEE
Abstract

To avoid vehicle running off road, road edge detection is a fundamental function. Current work on road edge detection has not exhaustively tackled all weather and illumination conditions. We first sort the visual appearance of roads based on physical and optical properties under various illuminations. Then, data mining approach is applied to a large driving video set that contains the full spectrum of seasons and weathers to learn the statistical distribution of road edge appearances. The obtained parameters of road environment in color on road structure are used to classify weather in video briefly, and the corresponding algorithm and features are applied for robust road edge detection. To visualize the road appearance as well as evaluate the accuracy of detected road, a compact road profile image is generated to reduce the data to a small fraction of video. Through the exhaustive examination of all weather and illuminations, our road detection methods can locate road edges in good weather, reduce errors in dark illuminations, and report road invisibility in poor illuminations.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Wang, Z., Cheng, G., & Zheng, J. Y. (2017). All weather road edge identification based on driving video mining. In 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1–6). https://doi.org/10.1109/ITSC.2017.8317602
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
2017 IEEE 20th International Conference on Intelligent Transportation Systems
Source
Author
Alternative Title
Type
Conference proceedings
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Author's manuscript
Full Text Available at
This item is under embargo {{howLong}}