Open AccessObject recognition technology for autonomous unmanned control based on stereo data analysis and voxel representation of visible objects
Author(s) -
L. A. Kotyuzanskiy,
N. V. Chetverkin,
Natalia G. Ryzhkova
Publication year - 2020
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/709/3/033069
Subject(s) - computer science , artificial intelligence , computer vision , representation (politics) , object (grammar) , voxel , computer graphics (images) , video tracking , object detection , stereopsis , stereo camera , pattern recognition (psychology) , politics , political science , law
The paper represents a description of the object recognition technology on a road using moving stereo pair of cameras in real time. The developed algorithm is characterized by high processing speed and performs reliable detection of arbitrary shape obstacles. Calculation time for one iteration from receiving input images (size 1280 * 480) to detecting obstacles is less than 2 msec for a Geforce GTX 1080T video card.