Automated Driving System of Lane Detection Using Image Processing Techniques

Abstract

This research aims to develop automated driving system of lane detection using image processing techniques in order to receive the data of the surrounding environment and forward to the processor to make to the decision and command the car to move in the right direction and proper speed. Video recording of lane separating line has been made by using camera module. The results of lane detection system using images processing technique found that the system can be operated by taking images from the camera on the self-driving car and processed by the Raspberry Pi board using image processing from the car camera to detect and track the road. Experimental results of environments of the system show the effectiveness of designed program which detects the lane precisely as 90 percent when driving during the human risk caused by driving and to help the disabled to be able to travel independently, so the research offers the methods in using the automation to control the cars instead of human control.

Authors and Affiliations

Patiyuth Pramkeaw, Chaiyapon Thongchaisuratkrul

Keywords

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  • EP ID EP601129
  • DOI -
  • Views 160
  • Downloads 0

How To Cite

Patiyuth Pramkeaw, Chaiyapon Thongchaisuratkrul (2019). Automated Driving System of Lane Detection Using Image Processing Techniques. International Journal of the Computer, the Internet and Management, 27(1), 58-63. https://europub.co.uk/articles/-A-601129