Studies in Computational Intelligence, volume 1008 SCI, pages 261-268
Real-Time Approach to Neural Network-Based Disparity Map Generation from Stereo Images
Kasatkin Nikita
1
,
Yudin D.
1
Publication type: Book Chapter
Publication date: 2021-11-23
Quartile SCImago
Q4
Quartile WOS
—
Impact factor: —
ISSN: 1860949X, 18609503
Abstract
Generating depth maps using mono- or stereo- images is a topic of active research. This paper is dedicated to study of different methods of depth and disparity maps generating. It includes analysis of existing methods of depth maps generating and investigation and improvement of the real-time neural-network based method AnyNet. Our approach AnyNet-M related to the models which are make prediction stage-by-stage and increase quality of disparity estimation over time. Firstly, proposed method was tested on KITTI Stereo Dataset and custom OpenTaganrog dataset with images of 1242 × 375 resolution. The method was proved to be real-time with approximately 38 FPS using one TeslaV100 GPU. Secondly, quality of proposed model was tested and reached 5% of Average 3-Pixel Error on KITTI dataset. Finally, it was integrated to Robotic operation system for further use as part of the navigation systems of unmanned vehicles.
Citations by journals
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Optical Memory and Neural Networks (Information Optics)
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Optical Memory and Neural Networks (Information Optics)
1 publication, 100%
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1
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Citations by publishers
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Pleiades Publishing
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Pleiades Publishing
1 publication, 100%
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1
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Kasatkin N., Yudin D. Real-Time Approach to Neural Network-Based Disparity Map Generation from Stereo Images // Studies in Computational Intelligence. 2021. Vol. 1008 SCI. pp. 261-268.
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Kasatkin N., Yudin D. Real-Time Approach to Neural Network-Based Disparity Map Generation from Stereo Images // Studies in Computational Intelligence. 2021. Vol. 1008 SCI. pp. 261-268.
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TY - GENERIC
DO - 10.1007/978-3-030-91581-0_35
UR - https://doi.org/10.1007%2F978-3-030-91581-0_35
TI - Real-Time Approach to Neural Network-Based Disparity Map Generation from Stereo Images
T2 - Studies in Computational Intelligence
AU - Kasatkin, Nikita
AU - Yudin, D.
PY - 2021
DA - 2021/11/23 00:00:00
PB - Springer Nature
SP - 261-268
VL - 1008 SCI
SN - 1860-949X
SN - 1860-9503
ER -
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@incollection{2021_Kasatkin,
author = {Nikita Kasatkin and D. Yudin},
title = {Real-Time Approach to Neural Network-Based Disparity Map Generation from Stereo Images},
publisher = {Springer Nature},
year = {2021},
volume = {1008 SCI},
pages = {261--268},
month = {nov}
}
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