Open AccessDesign and implementation program identification of traffic form in self driving car robot
Author(s) -
Lukman Yudokusumo,
Ig. Prasetya Dwi Wibawa,
Cahyantari Ekaputri
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1367/1/012067
Subject(s) - identification (biology) , computer science , robot , self driving , engineering , transport engineering , artificial intelligence , botany , biology
The development of technology is growing more rapidly, one of them is a car robot without a driver who can help navigate the car to drive. The navigation is designed to determine the direction of the steering wheel to walk along the track properly. An image processing algorithm is designed to help navigate miniature cars. The design of this algorithm uses the Python programming language and has the OpenCV library. An image as an input while for the output is to have a miderror value to find out the position of the car in the middle of the track or not. The results in the miderror that are read in the python and the ruler on the straight track has an average of 5.485647966%, and identification of the track shape can distinguish between the straight track, turn right, and turn left.