NDLI: A novel lane detection approach fusion by vehicle localization

Content Provider	IEEE Xplore Digital Library
Author	Chenhao Wang Zhencheng Hu Uchimura, K.
Copyright Year	2011
Description	Author affiliation: Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami, 860-8555, Japan (Chenhao Wang; Zhencheng Hu; Uchimura, K.)
Abstract	This paper proposes a novel approach for lane detection fusion by visual and vehicle localization system. To estimate accurate camera's gesture as well as road parameters, model-driven approach was introduced in our approach, which was the most popular way for lane detection so far. Be different from traditional processing way relying on visual recognition results, our approach develops a fusion method that was required for more reliable results under various environment conditions. Two processing engines are contained in our system. [1] Visual processing focuses on road segment detection on image. It is called near zone, in which road shape seems as linear and lane feature is easy to be extracted. Parameters: such as road width, vehicle lateral displacement, camera's inclination angle and heading angle, are estimated in this area. [2] Since visual sensor is hard to locate road lane in far zone, which may introduce uncertain noise, vehicle localization with digital map is proposed to assist lane detection for restricting detection zone, where lane might be not seen clearly or block by other objects. Because parameter vector is predicted by our approach and its variance is limited in the rational range, model updating and parameters tracking will be more efficient and reliable by EKF in the fusion step.
Starting Page	1218
Ending Page	1223
File Size	1393258
Page Count	6
File Format	PDF
ISBN	9781612846989
e-ISBN	9781612847009
DOI	10.1109/WCICA.2011.5970710
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Roads Vehicles Cameras Visualization Feature extraction Engines Estimation EKF vehicle localization lane detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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