Open AccessExperimental study of a prototype for an autonomous infrared system for ground object recognition
Author(s) -
Andrey Maltsev,
Dmitriy Otkupman,
Victoria Ostashenkova,
М. В. Останин
Publication year - 2021
Publication title -
vestnik koncerna vko «almaz - antej»
Language(s) - English
Resource type - Journals
ISSN - 2542-0542
DOI - 10.38013/2542-0542-2021-1-93-102
Subject(s) - artificial intelligence , convolutional neural network , computer science , infrared , computer vision , cognitive neuroscience of visual object recognition , set (abstract data type) , object (grammar) , artificial neural network , pattern recognition (psychology) , physics , optics , programming language
The results of experiments with a prototype of an autonomous infrared system for recognition of ground objects based on domestic physical components and open architecture of the YOLOv3 convolutional neural network are presented. The object of recognition is a car van. The neural network is trained on a set of images taken in the visible range. Infrared video footage of imperfect quality recorded by a moving and vibrating air carrier – octocopter – is analysed.