Proceedings of the 2015 International Conference on Material Science and Applications

Traffic Flow Registraton for Unmanned Aerial Vehicle Detection

Authors
Gui-Yuan Xiao, Rong-Yi Du
Corresponding Author
Gui-Yuan Xiao
Available Online June 2014.
DOI
https://doi.org/10.2991/icmsa-15.2015.67How to use a DOI?
Keywords
Intelligent Transportation, Unmanned Aerial Vehicles, Time-Space Registration, Traffic Information Collection, Time Effectiveness.
Abstract
Registration of detection data is to ensure the time-space consistency and effective fusion of air-ground traffic detection data. In this paper, we aim to propose a space-time registration method for the vehicle detection data of unmanned aerial vehicle (UAV). Considering temporal and spatial distribution characteristics of UAV detection, we define time effectiveness and two evaluation indicators for UAV data registration, namely absolute and relative effective times. These two indicators are used to characterize the quality of UAV detection data. Based on time effectiveness of UAV detection, space and time registration methods are developed. Data verification is conducted by Matlab programming with the holographic vehicle trajectory data of I-80 highway. Results of the case study show that, registration largely improves the data accuracy of UAV traffic flow detection data from 68.4% to 88.8%.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Material Science and Applications (icmsa-15)
Part of series
Advances in Physics Research
Publication Date
June 2014
ISBN
978-94-62520-75-2
ISSN
2352-541X
DOI
https://doi.org/10.2991/icmsa-15.2015.67How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Gui-Yuan Xiao
AU  - Rong-Yi Du
PY  - 2014/06
DA  - 2014/06
TI  - Traffic Flow Registraton for Unmanned Aerial Vehicle Detection
BT  - 2015 International Conference on Material Science and Applications (icmsa-15)
PB  - Atlantis Press
SP  - 364
EP  - 371
SN  - 2352-541X
UR  - https://doi.org/10.2991/icmsa-15.2015.67
DO  - https://doi.org/10.2991/icmsa-15.2015.67
ID  - Xiao2014/06
ER  -