Route Optimization for Cooperative Aerial Reconnaissance

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00534651" target="_blank" >RIV/60162694:G42__/18:00534651 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.springer.com/us/book/9783319760711" target="_blank" >http://www.springer.com/us/book/9783319760711</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-76072-8_6" target="_blank" >10.1007/978-3-319-76072-8_6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Route Optimization for Cooperative Aerial Reconnaissance

Popis výsledku v původním jazyce

This paper deals with the optimization of routes generated by the Coopera-tive Aerial Reconnaissance (CAR) model. This high-level model plans the optimal routes for a fleet of unmanned aerial systems (UAS) in order to carry out the reconnaissance operation in the area of interest. The route for each UAS is composed of a number of waypoints to be visited in the correct order. This paper further enhances the routes by applying the smoothing algorithm to individual routes for every aerial system in the fleet. The first part of the paper presents the fundamental parameters of the smoothing algorithm. Next, the evaluation of the approach is performed via a series of experi-ments. The proposed modifications have been implemented into the Tactical Decision Support System (TDSS) being developed at University of Defence in Brno to support commanders in their decision making processes.

Název v anglickém jazyce

Route Optimization for Cooperative Aerial Reconnaissance

Popis výsledku anglicky

This paper deals with the optimization of routes generated by the Coopera-tive Aerial Reconnaissance (CAR) model. This high-level model plans the optimal routes for a fleet of unmanned aerial systems (UAS) in order to carry out the reconnaissance operation in the area of interest. The route for each UAS is composed of a number of waypoints to be visited in the correct order. This paper further enhances the routes by applying the smoothing algorithm to individual routes for every aerial system in the fleet. The first part of the paper presents the fundamental parameters of the smoothing algorithm. Next, the evaluation of the approach is performed via a series of experi-ments. The proposed modifications have been implemented into the Tactical Decision Support System (TDSS) being developed at University of Defence in Brno to support commanders in their decision making processes.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Modelling and Simulation for Autonomous Systems

ISBN

978-3-319-76071-1

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

9

Strana od-do

83-91

Název nakladatele

Springer International Publishing

Místo vydání

Cham

Místo konání akce

Rome

Datum konání akce

24. 10. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000444831600006