Data Collection Planning with Dubins Airplane Model and Limited Travel Budget
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312673" target="_blank" >RIV/68407700:21230/17:00312673 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ECMR.2017.8098715" target="_blank" >http://dx.doi.org/10.1109/ECMR.2017.8098715</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ECMR.2017.8098715" target="_blank" >10.1109/ECMR.2017.8098715</a>
Alternative languages
Result language
angličtina
Original language name
Data Collection Planning with Dubins Airplane Model and Limited Travel Budget
Original language description
In this paper, we address the data collection planning problem for fixed-wing unmanned aircraft vehicle (UAV) with a limited travel budget. We formulate the problem as a variant of the Orienteering Problem (OP) in which the Dubins airplane model is utilized to extend the problem into the three-dimensional space and curvature-constrained vehicles. The proposed Dubins Airplane Orienteering Problem (DA-OP) stands to find the most rewarding data collection trajectory visiting a subset of the given target locations while the trajectory does not exceed the limited travel budget. Contrary to the original OP formulation, the proposed DA-OP combines not only the combinatorial part of determining a subset of the targets to be visited together with determining the sequence to visited them, but it also includes challenges related to continuous optimization in finding the shortest trajectory for Dubins airplane vehicle. The problem is addressed by sampling possible approaching angles to the targets, and a solution is found by the Randomized Variable Neighborhood Search (RVNS) method. A feasibility of the proposed solution is demonstrated by an empirical evaluation on modified benchmarks for the OP instances to the scenarios with varying altitude of the targets.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-24206S" target="_blank" >GA16-24206S: Efficient Information Gathering with Dubins Vehicles in Persistent Monitoring and Surveillance Missions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of ECMR 2017
ISBN
978-1-5386-1096-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
328-333
Publisher name
IEEE
Place of publication
Marseille
Event location
Paris
Event date
Sep 6, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426455100062