Street Mark Detection Using Raspberry PI for Self-driving System

Sumardi, Sumardi and Taufiqurrahman, Muhammad and Riyadi, Munawar A. Street Mark Detection Using Raspberry PI for Self-driving System. TELKOMNIKA, .



Self driving is an autonomous vehicle that can follow the road with less human intervention. The development of self driving utilizes various methods such as radar, lidar, GPS, camera, or combination of them. In this research, street mark detection system was designed using webcam and raspberry-pi mini computer for processing the image. The image was processed by HSV color filtering method. The processing rate of this algorithm was 137.98 ms correspondinig to 7.2 FPS. The self-driving prototype was found to be working optimally for “hue” threshold of 0-179, “saturation” threshold of 0-30, and “value” threshold of 200-255. Street mark detection has been obtained from the coordinates of street mark object which had range 4-167 on x axis and 4-139 on y axis. As a result, we have successfully built the street mark detection by COG method more effectively and smoothly in detection in comparison with Hough transform method.

Item Type:Article
Subjects:T Technology > Computer engineering. Embedded system. Network. Softwares. Robotics. Multimedia
Divisions:Faculty of Engineering > Diploma in Electrical Engineering
Faculty of Engineering > Diploma in Electrical Engineering
ID Code:72199
Deposited By:Dr. Wahyudi Wahyudi
Deposited On:30 Apr 2019 15:12
Last Modified:30 Apr 2019 15:12

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