|3/2016 - 14|
Control and Optimization of UAV Trajectory for Aerial Coverage in Photogrammetry ApplicationsPOPESCU, D. , STOICAN, F. , ICHIM, L.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,184 KB) | Citation | Downloads: 920 | Views: 2,902|
digital photography, optimization, path planning, position control, unmanned aerial vehicles
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
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|
| 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 28] [SCOPUS Times Cited 31]
 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 16] [SCOPUS Times Cited 22]
 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 8]
 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 37] [SCOPUS Times Cited 51]
 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.
 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 61]
 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 97] [SCOPUS Times Cited 129]
 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 185] [SCOPUS Times Cited 216]
 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 487] [SCOPUS Times Cited 611]
 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 120] [SCOPUS Times Cited 142]
 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 67]
 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 51] [SCOPUS Times Cited 57]
 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 97] [SCOPUS Times Cited 112]
 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 42]
 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.
 T. Motzkin, H. Raiffa, G. Thompson, R. Thrall, "The double description method," Contrib. Theory Games, vol. 2, pp. 51, 1959.
 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.
 V. Baldoni, N. Berline, J. De Loera, B. Dutra, M. Koppe, S. Moreinis, G. Pinto, M. Vergne, J. Wu, A users guide for LattE integrale v1. 7.2. 2014.
 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 51] [SCOPUS Times Cited 57]
 M. Fliess, J. Levine, P. Martin, P. Rouchon, On Differentially Flat Nonlinear Systems, Nonlinear Control Systems Design. Pergamon Press, 1992.
 J. Levine, Analysis and Control of Nonlinear Systems: A Flatness-based Approach. Springer Science & Business Media, 2009.
 F. Suryawan, "Constrained Trajectory Generation and Fault Tolerant Control Based on Differential Flatness and B-splines," Newcastle University, 2010.
 J. Lofberg, "YALMIP?: A Toolbox for Modeling and Optimization in MATLAB," in Proceedings of the CACSD Conference, Taipei, Taiwan, 2004.
 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.
 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 19]
 W. Gordon, R. Riesenfeld, "B-spline curves and surfaces," Computer Aided Geometric Design, pp. 95-126, 1974.
 N. Patrikalakis, T. Maekawa, Shape Interrogation for Computer Aided Design and Manufacturing. Springer Science & Business, 2010.
 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]
Web of Science® Citations for all references: 1,173 TCR
SCOPUS® Citations for all references: 1,629 TCR
Web of Science® Average Citations per reference: 40 ACR
SCOPUS® Average Citations per reference: 56 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 2023-09-23 09:31 in 98 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.