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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2016 - 14

 HIGH-IMPACT PAPER 

Control and Optimization of UAV Trajectory for Aerial Coverage in Photogrammetry Applications

POPESCU, D. See more information about POPESCU, D. on SCOPUS See more information about POPESCU, D. on IEEExplore See more information about POPESCU, D. on Web of Science, STOICAN, F. See more information about  STOICAN, F. on SCOPUS See more information about  STOICAN, F. on SCOPUS See more information about STOICAN, F. on Web of Science, ICHIM, L. See more information about ICHIM, L. on SCOPUS See more information about ICHIM, L. on SCOPUS See more information about ICHIM, L. on Web of Science
 
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Download PDF pdficon (1,184 KB) | Citation | Downloads: 1,093 | Views: 3,698

Author keywords
digital photography, optimization, path planning, position control, unmanned aerial vehicles

References keywords
control(10), remote(7), systems(6), unmanned(5), aerial(5), vehicle(4), trajectory(4), system(4), sensing(4), flood(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-08-31
Volume 16, Issue 3, Year 2016, On page(s): 99 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.03014
Web of Science Accession Number: 000384750000014
SCOPUS ID: 84991093546

Abstract
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Photogrammetry is a well-studied and much-used analysis tool. Typical use cases include area surveillance, flood monitoring and related tasks. Usually, an Unmanned Aerial System (UAS) is used as support for image acquisition from an a priori delimited region in a semi-automated manner (via a mix of ground control and autonomous trajectory tracking). This in turn has led to various algorithms which handle path trajectory generation under realistic constraints but still many avenues remain open. In this paper, we consider typical costs and constraints (UAS dynamics, total-path length, line inter-distance, turn points, etc.) in order to obtain, via optimization procedures, an optimal trajectory. To this end we make use of polyhedral set operations, flat trajectory generation and other similar tools. Additional work includes the study of non-convex regions and estimation of the number of photographs taken via Ehrhart polynomial computations.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 14
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Cited-By CrossRef

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Digital Object Identifier: 10.3390/f12121658
[CrossRef]

[2] The Role of 5G Network Image Information Based on Deep Learning in UAV Prediction Target Trajectory Tracking, Tang, Cundong, Chen, Li, Wang, Yi, Yang, Wusi, Chen, Rui, Wang, Zhiping, Lv, Haibin, Wireless Communications and Mobile Computing, ISSN 1530-8669, Issue 1, Volume 2021, 2021.
Digital Object Identifier: 10.1155/2021/3097031
[CrossRef]

[3] Wind-Effected Dynamic Quadrotor Route Planning with Metaheuristic Methods in Different Weather Conditions, INCEKARA, H., SELEK, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 21, 2021.
Digital Object Identifier: 10.4316/AECE.2021.04008
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[4] Practical fixed‐time tracking control of quadrotor unmanned aerial vehicles with input saturation, He, Zhansheng, Shen, Jun, Zhang, Zhipeng, Asian Journal of Control, ISSN 1561-8625, Issue 5, Volume 26, 2024.
Digital Object Identifier: 10.1002/asjc.3350
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[5] Peak Points Detection Using Spline Interpolation Based on FPGA Implementation, COLAK, A. M., MANABE, T., KAMASAKA, R., SHIBATA, Y., KUROKAWA, F., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 19, 2019.
Digital Object Identifier: 10.4316/AECE.2019.04001
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[6] Virtual Reality Technology of Multi UAVEarthquake Disaster Path Optimization, Wang, Yi, Liu, Ensheng, Tsai, Sang-Bing, Mathematical Problems in Engineering, ISSN 1563-5147, Issue , 2021.
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[7] 3S Forest Fire Prevention Construction Intelligent System based on Communication System Optimization Model, Qie, Yawei, Xie, Tao, 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), ISBN 978-1-6654-3524-6, 2021.
Digital Object Identifier: 10.1109/ICECA52323.2021.9676108
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
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