Implementation of Lane Departure Warning System Based on Machine Vision

Author:

Sheu Jia Shing1ORCID,Chu Hao1,Liu Chun Chi1

Affiliation:

1. National Taipei University of Education

Abstract

Purpose of this paper raise a vehicle lane departure warning system based on the machine vision. It does not need to use the parameters of the camera which do the road marking recognition system installed in the interior of the camera by algorithms. Regarding the time line of the intelligent transport system, it is to solve the various problems possibly arising from driving on the road. This system is mainly for the warning of the unexpected departure of vehicle. The method is to use the digital camera to capture continuous images and identify the vehicle moving direction by the detection of the left and right markings, as well as forecast the driving direction of the vehicle for the reference of vehicle departure warning. In this paper, the used algorithms include brightness adjustment, binarization, dilation, erosion, and edge detection image processing techniques.

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

1. W. C. Chen, H. W. Ko, Introduction to the International Development Trends of Intelligent Safety Vehicle and In-vehicle Wireless Communications, Automobile Industry Monthly, (2008), pp.33-49.

2. X. An, M. Wu, H. He, A novel approach to provide lane departure warning using only one forward-looking camera, International Symposium on Collaborative Technologies and Systems (CTS'06), (2006), pp.356-362.

3. Technical Committee ISO/TC 204, ISO 17361: Intelligent transport systems - Lane departure warning systems – Performance requirements and test procedures, ISO copyright office, Switzerland, (2007).

4. Houser, A., Pierowicz, J., Fuglewicz, D., Concept of operations and voluntary operational requirements for lane departure warning systems (LDWS) on-board commercial motor vehicles, Technical Report of Federal Motor Carrier Safety Administration, No. FMCSA-MCRR-05-005, (2005).

5. Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, (2008), pp.630-634.

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