DOI 10.17586/0021-3454-2021-64-2-104-108
UDC 519.713
LANE DETECTION ALGORITHM
ITMO University, Faculty of Control Systems and Robotics;
A. A. Abdelsalam
ITMO University, Faculty of Control Systems and Robotics;
S. Y. Perepelkina
Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, 195251. Russian Federation; Associate Professor
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Abstract. The solution to the problem of unmanned vehicle control is based on the use of theoretical and practical developments in the field of technical vision and trajectory control. Technical vision methods are used to analyze the surroundings of vehicle movement. The proposed algorithm development applies a global analysis of geometric relationships between image elements: a road lane and a moving car. This algorithm is presented as part of an autonomous vehicle control system using the Lua language and exploiting the generalized Hough transform. Examples of the algorithm implementation are presented.
Keywords: vehicle, lane, pattern recognition, technical vision
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