Studies in Computational Intelligence, pages 167-174
Deep Neural Networks for Ortophoto-Based Vehicle Localization
Yudin D.
1
Publication type: Book Chapter
Publication date: 2020-10-02
Quartile SCImago
Q4
Quartile WOS
—
Impact factor: —
ISSN: 1860949X, 18609503
Abstract
Navigation of unmanned vehicle especially using orthophoto is a topic of active research. This paper is dedicated to study of different methods of orthophoto-based localization methods. For this task new dataset was created. It consists of pairs of ground level and bird’s eye view images collected on vehicle test site of the technology contest Up Great “Winter City”. Different deep network approaches to localization were used: 1) embedding-based, 2) based on synthesis of bird’s eye view using Pix2pix conditional generative adversarial network and masked cross-correlation in map subwindow. The second approach has demonstrated good applicability for the proposed dataset. Mean absolute error of localization on known scenes reached 1 m. The average total time of bird’s eye view generation and subsequent localization is from 0.1 s to 0.2 s. This is an acceptable quality for the task solution and its further use as part of the navigation systems of unmanned vehicles.
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Procedia Computer Science
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Procedia Computer Science
1 publication, 50%
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Springer Optimization and Its Applications
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Springer Optimization and Its Applications
1 publication, 50%
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Elsevier
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Elsevier
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Springer Nature
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Springer Nature
1 publication, 50%
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Rezanov A., Yudin D. Deep Neural Networks for Ortophoto-Based Vehicle Localization // Studies in Computational Intelligence. 2020. pp. 167-174.
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Rezanov A., Yudin D. Deep Neural Networks for Ortophoto-Based Vehicle Localization // Studies in Computational Intelligence. 2020. pp. 167-174.
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TY - GENERIC
DO - 10.1007/978-3-030-60577-3_19
UR - https://doi.org/10.1007%2F978-3-030-60577-3_19
TI - Deep Neural Networks for Ortophoto-Based Vehicle Localization
T2 - Studies in Computational Intelligence
AU - Rezanov, Alexander
AU - Yudin, D.
PY - 2020
DA - 2020/10/02 00:00:00
PB - Springer Nature
SP - 167-174
SN - 1860-949X
SN - 1860-9503
ER -
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@incollection{2020_Rezanov,
author = {Alexander Rezanov and D. Yudin},
title = {Deep Neural Networks for Ortophoto-Based Vehicle Localization},
publisher = {Springer Nature},
year = {2020},
pages = {167--174},
month = {oct}
}
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