ON-BOARD LANE DETECTION SYSTEM FOR INTELLIGENT VEHICLE BASED ON MONOCULAR VISION

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 5 , ISSUE 4 (December 2012) > List of articles

ON-BOARD LANE DETECTION SYSTEM FOR INTELLIGENT VEHICLE BASED ON MONOCULAR VISION

Xiaodong Miao * / Shunming Li / Huan Shen

Keywords : Intelligent transportation system, machine vision, intelligent vehicle, traffic safety, driver assistant system

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 5, Issue 4, Pages 957-972, DOI: https://doi.org/10.21307/ijssis-2017-517

License : (CC BY-NC-ND 4.0)

Received Date : 15-August-2012 / Accepted: 22-September-2012 / Published Online: 01-December-2012

ARTICLE

ABSTRACT

The objective of this research is to develop a monocular vision system that can locate the positions of the road lane in real time. First, Canny approach is used to obtain edge map from the road image acquired from monocular camera mount on vehicle; Second, a matching process is conducted to normalize the candidates of road line; Third, a searching method is used for reinforce potential road lines while degraded those impossible ones; Forth, a linking condition is used to further enhance the confidence of the potential lane lines, and a K-means cluster algorithm is employed to localize the lane lines; Finally, a on board system is designed for experiment. The proposed system is shown to work well under various conditions on the roadway. Besides, the computation cost is inexpensive and the system's response is almost real time.

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