NDLI: Real-Time Implementation of Vision-Based Lane Detection and Tracking

Content Provider	IEEE Xplore Digital Library
Author	King Hann Lim Kah Phooi Seng Anh Cat Le Ngo Li-Minn Ang
Copyright Year	2009
Abstract	This paper presents a real-time implementation on lane detection and tracking system in order to localize lane boundaries and estimate a linear-parabolic lane model. It is realized using TMS320DM642 DSP board. Video frame is first captured with CCD camera and stored in video port buffer. Next, input image is split into sky and road region with horizon localization. Lane analysis is applied on the road region to remove road pixels. Only lane markings are the interests for the lane detection process. Once lane boundaries are located, the possible edge pixels are scanned to continuously obtain the lane model. Linear-parabolic model is used to construct the geometry of the lane. The model parameters are updated with Kalman filtering. Video sequences are tested to verify the performance of the system and it has good performance.
Starting Page	364
Ending Page	367
File Size	989089
Page Count	4
File Format	PDF
ISBN	9780769537528
DOI	10.1109/IHMSC.2009.214
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Charge coupled devices Solid modeling Hardware Implementation Roads Buffer storage Image edge detection Lane Detection Geometry Intelligent Vehicle And Driver Assistance System Digital signal processing Kalman filters Lane Tracking Charge-coupled image sensors
Content Type	Text
Resource Type	Article

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