NDLI: Video-based recognition of unmarked lanes via texture interpretation and N-level-set-fitting

Content Provider	IEEE Xplore Digital Library
Author	Schindler, A. Lauren, V.
Copyright Year	2009
Description	Author affiliation: University of Passau, Institute for Software Systems in Technical Applications of Computer Science (FORWISS), D-94032 Passau, Germany (Schindler, A.; Lauren, V.)
Abstract	In modern driver assistance systems the environment perception plays a decisive role in order to evaluate the current traffic scene. The reliable recognition of the drivable area provides essential information for lane departure warning systems which in turn contribute to active road safety. Most systems on lane recognition do reliable work on well marked roads and under good weather and lighting conditions but they fail in more difficult scenarios especially in the absence of lane markings. In this paper we present a two-stage algorithm for the recognition of unmarked lanes using only a single monochrome camera. In the first step our approach transforms texture differences into gray value information in order to intensify the separation of on-road and off-road parts. Then a N-level-set-fitting is applied on this new image which uses a clothoid road model as underlying set model. Minimizing the error function yields to the parameter estimation of the road model. The method is independent of the availability of lane markings or any other landmarks. The parameter propagation to the next frame is done via a standard kalman filter. The given results show the performance of our approach in robust lane recognition under various weather and lighting conditions.
Starting Page	1
Ending Page	6
File Size	628537
Page Count	6
File Format	PDF
ISBN	9781424455195
DOI	10.1109/ITSC.2009.5309866
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Intelligent transportation systems Layout Alarm systems Road safety Parameter estimation Shape Optical reflection USA Councils Software systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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