Modelling of UAV range measurement

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F19%3A00537143" target="_blank" >RIV/60162694:G43__/19:00537143 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11166/111660F/Modelling-of-UAV-range-measurement/10.1117/12.2533043.short" target="_blank" >https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11166/111660F/Modelling-of-UAV-range-measurement/10.1117/12.2533043.short</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2533043" target="_blank" >10.1117/12.2533043</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modelling of UAV range measurement

Popis výsledku v původním jazyce

Nowadays, there is wide spectrum of areas of use of small unmanned aerial vehicles (UAV, drones). Their low cost, flexibility of use, low service cost and independence on infrastructure make them ideal carriers of different cargo. This fact brings many significant safety risk and threats. Especially aerial survey, flight zones disruptions and transport dangerous cargo. Above mentioned threat can be eliminated by: disabling navigation and control features, taking control over the steering and object destruction. One of the possible typically military solutions of that situation, is destruction by shooting. The most common way of solving the above task, is the use of barrel weapons of individual shooter or small military units. Therefore, we focused our effort on preventing the UAV mission accomplishing by its shooting destruction. To accomplish the task, in addition to detection and identification, we consider the distance determination as a fundamental problem. For the purposes of this paper, the distance determination we consider as a “localization”. Comparison of UAV localization options is the issue of this paper. Two localizations methods have been defined. Localization option include active method (ILR - impulse laser rangefinder) and passive method (triangulation method). Using mathematical modelling we proved, that ILR measurement is possible. To determine a distance with a defined probability we designed specific measurement frequency. For a predetermined type of UAV and ILR we identified the maximum distance that can be measured. In the second part of this paper, we analyzed the accuracy of localization using the triangulation method. The accuracy of localization using this method is dependent on the squared of the UAV distance. There are two significant advantage of this method: measurements can be made continuously and multiple objects in the field of view can be measured at the same time.

Název v anglickém jazyce

Modelling of UAV range measurement

Popis výsledku anglicky

Nowadays, there is wide spectrum of areas of use of small unmanned aerial vehicles (UAV, drones). Their low cost, flexibility of use, low service cost and independence on infrastructure make them ideal carriers of different cargo. This fact brings many significant safety risk and threats. Especially aerial survey, flight zones disruptions and transport dangerous cargo. Above mentioned threat can be eliminated by: disabling navigation and control features, taking control over the steering and object destruction. One of the possible typically military solutions of that situation, is destruction by shooting. The most common way of solving the above task, is the use of barrel weapons of individual shooter or small military units. Therefore, we focused our effort on preventing the UAV mission accomplishing by its shooting destruction. To accomplish the task, in addition to detection and identification, we consider the distance determination as a fundamental problem. For the purposes of this paper, the distance determination we consider as a “localization”. Comparison of UAV localization options is the issue of this paper. Two localizations methods have been defined. Localization option include active method (ILR - impulse laser rangefinder) and passive method (triangulation method). Using mathematical modelling we proved, that ILR measurement is possible. To determine a distance with a defined probability we designed specific measurement frequency. For a predetermined type of UAV and ILR we identified the maximum distance that can be measured. In the second part of this paper, we analyzed the accuracy of localization using the triangulation method. The accuracy of localization using this method is dependent on the squared of the UAV distance. There are two significant advantage of this method: measurements can be made continuously and multiple objects in the field of view can be measured at the same time.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10306 - Optics (including laser optics and quantum optics)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies III

ISBN

978-1-5106-3036-9

ISSN

0277-786X

e-ISSN

1996-756X

Počet stran výsledku

16

Strana od-do

—

Název nakladatele

SPIE, Bellingham, Washington 98227-0010 USA

Místo vydání

Strasbourg, France

Místo konání akce

Strasbourg, France

Datum konání akce

9. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000511153500012