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

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


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  3/2016 - 14

 HIGHLY CITED 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: 506 | Views: 2,266

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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Full text preview
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  «-- Click to see who has cited this paper

[1] R. K. Pandey, J.-F. Cretaux, M. Berge-Nguyen, V. M. Tiwari, V. Drolon, F. Papa, S. Calmant, "Water level estimation by remote sensing for the 2008 flooding of the Kosi river," Int. J. Remote Sens., vol. 35, no. 2, pp. 424-440, 2014.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 27]


[2] H. Khurshid, M. F. Khan, "Segmentation and Classification Using Logistic Regression in Remote Sensing Imagery," IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 8, no. 1, pp. 224-232, 2015.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 14]


[3] R. Koschitzki, E. Schwalbe, H. Maas, "An autonomous image based approach for detecting glacial lake outburst floods," ISPRS-Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 1, pp. 337-342, 2014.
[CrossRef] [SCOPUS Times Cited 9]


[4] S.-W. Lo, J.-H. Wu, F.-P. Lin, C.-H. Hsu, "Cyber surveillance for flood disasters," Sensors, vol. 15, no. 2, pp. 2369-2387, 2015.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 39]


[5] J.-N. Lee, K.-C. Kwak, "A trends analysis of image processing in unmanned aerial vehicle," Int. J. Comput. Inf. Sci. Eng., vol. 8, no. 2, pp. 261-264, 2014.

[6] M. Abdelkader, M. Shaqura, C. G. Claudel, W. Gueaieb, "A UAV based system for real time flash flood monitoring in desert environments using Lagrangian microsensors," in International Conference on Unmanned Aircraft Systems (ICUAS), 2013, pp. 25-34.
[CrossRef] [SCOPUS Times Cited 47]


[7] C. Achille, A. Adami, S. Chiarini, S. Cremonesi, F. Fassi, L. Fregonese, L. Taffurelli, "UAV-based photogrammetry and integrated technologies for architectural applications-methodological strategies for the after-quake survey of vertical structures in Mantua (Italy)," Sensors, vol. 15, no. 7, pp. 15520-15539, 2015.
[CrossRef] [Web of Science Times Cited 76] [SCOPUS Times Cited 99]


[8] Q. Feng, J. Liu, J. Gong, "Urban flood mapping based on Unmanned Aerial Vehicle remote sensing and random forest classifier-A case of Yuyao, China," Water, vol. 7, no. 4, pp. 1437-1455, 2015.
[CrossRef] [Web of Science Times Cited 124] [SCOPUS Times Cited 141]


[9] S. Siebert, J. Teizer, "Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system," Autom. Constr., vol. 41, pp. 1-14, 2014.
[CrossRef] [Web of Science Times Cited 369] [SCOPUS Times Cited 473]


[10] H. Eisenbeiss, M. Sauerbier, "Investigation of UAV systems and flight modes for photogrammetric applications," Photogramm. Rec., vol. 26, no. 136, pp. 400-421, 2011.
[CrossRef] [Web of Science Times Cited 106] [SCOPUS Times Cited 120]


[11] K. J. Obermeyer, "Path planning for a UAV performing reconnaissance of static ground targets in terrain," in AIAA Guidance, Navigation, and Control Conference, pp. 10-13, 2009.
[CrossRef] [SCOPUS Times Cited 56]


[12] R. Diaz, S. Robins, "The Ehrhart polynomial of a lattice polytope," Ann. Math., vol. 145, no. 3, pp. 503-518, 1997.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 53]


[13] B. Ruzgiene, T. Berteska, S. Gecyte, E. Jakubauskiene, V. C. Aksamitauskas, "The surface modelling based on UAV Photogrammetry and qualitative estimation," Measurement, 2015.
[CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 85]


[14] D. Popescu, L. Ichim, T. Caramihale, "Flood areas detection based on UAV surveillance system, 19th International Conference on System Theory, Control and Computing (ICSTCC), pp. 753-758, 2015.
[CrossRef] [SCOPUS Times Cited 27]


[15] S. M. Adams, C. J. Friedland, "A survey of unmanned aerial vehicle (UAV) usage for imagery collection in disaster research and management," in 9th International Workshop on Remote Sensing for Disaster Response, 2011.

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[17] V. Baldoni, N. Berline, M. Koeppe, M. Vergne, "Intermediate sums on polyhedra: computation and real ehrhart theory," Mathematika, vol. 59, no. 01, pp. 1-22, 2013.
[CrossRef]


[18] V. Baldoni, N. Berline, J. De Loera, B. Dutra, M. Koppe, S. Moreinis, G. Pinto, M. Vergne, J. Wu, A user’s guide for LattE integrale v1. 7.2. 2014.

[19] I. Prodan, S. Olaru, R. Bencatel, J. B. De Sousa, C. Stoica, S.-I. Niculescu, "Receding horizon flight control for trajectory tracking of autonomous aerial vehicles," Control Eng. Pract., vol. 21, no. 10, pp. 1334-1349, 2013.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 48]


[20] M. Fliess, J. Levine, P. Martin, P. Rouchon, On Differentially Flat Nonlinear Systems, Nonlinear Control Systems Design. Pergamon Press, 1992.

[21] J. Levine, Analysis and Control of Nonlinear Systems: A Flatness-based Approach. Springer Science & Business Media, 2009.

[22] F. Suryawan, "Constrained Trajectory Generation and Fault Tolerant Control Based on Differential Flatness and B-splines," Newcastle University, 2010.

[23] J. Lofberg, "YALMIP?: A Toolbox for Modeling and Optimization in MATLAB," in Proceedings of the CACSD Conference, Taipei, Taiwan, 2004.

[24] M. Herceg, M. Kvasnica, C. N. Jones, M. Morari, "Multi-Parametric Toolbox 3.0," in Proc. of the European Control Conference, Zurich, Switzerland, 2013, pp. 502-510.

[25] F. Stoican, I. Prodan, D. Popescu, "Flat trajectory generation for way-points relaxations and obstacle avoidance," 23th Mediterranean Conference on Control and Automation (MED), pp. 695-700, 2015.
[CrossRef] [SCOPUS Times Cited 16]


[26] W. Gordon, R. Riesenfeld, "B-spline curves and surfaces," Computer Aided Geometric Design, pp. 95-126, 1974.

[27] N. Patrikalakis, T. Maekawa, Shape Interrogation for Computer Aided Design and Manufacturing. Springer Science & Business, 2010.

[28] F. Stoican, D. Popescu, "Trajectory generation with way-point constraints for UAV systems."Advances in Robot Design and Intelligent Control, pp. 379-386, 2016.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]




References Weight

Web of Science® Citations for all references: 905 TCR
SCOPUS® Citations for all references: 1,258 TCR

Web of Science® Average Citations per reference: 31 ACR
SCOPUS® Average Citations per reference: 43 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-10-11 23:33 in 103 seconds.




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