Application of neural networks in object recognition tasks for ADAS systems

International Scientific-Technical Conference on Innovative Engineering Technologies, Equipment and Materials 2018

材料科学;工业技术（总论）

Ziyatdinov, R.R.^1 ; Biktimirov, R.A.^2

Naberezhnye Chelny Institute KFU, Mira Ave., 68/19, Naberezhnye Chelny

423810, Russia^1

Kazan Federal University, 18 Kremlyovskaya street, Kazan

420008, Russia^2

关键词: Comparative analysis;    Convolutional neural network;    Driver assistance system;    Environmental recognition;    Management decisions;    Object recognition problem;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/570/1/012107/pdf
DOI  :  10.1088/1757-899X/570/1/012107

来源: IOP

【 摘 要 】

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.