Open AccessApplication of neural networks in object recognition tasks for ADAS systems
Author(s) -
R R Ziyatdinov,
R.A. Biktimirov
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/570/1/012107
Subject(s) - computer science , convolutional neural network , artificial neural network , cognitive neuroscience of visual object recognition , artificial intelligence , object (grammar) , time delay neural network , advanced driver assistance systems , function (biology) , pattern recognition (psychology) , machine learning , evolutionary biology , biology
Modern driver assistance systems (ADAS) require an environmental recognition function to inform the driver and for making management decisions. Neural networks are used to select and recognize objects in such systems. The paper presents the results of comparative analysis of various neural networks in object recognition problems. Experimental data showed that convolutional neural networks show the best results in recognition problems.