Autonomous compact monitoring of large areas using micro aerial vehicles with limited sensory information and computational resources

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00326772" target="_blank" >RIV/68407700:21230/19:00326772 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-14984-0_14" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14984-0_14</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-14984-0_14" target="_blank" >10.1007/978-3-030-14984-0_14</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Autonomous compact monitoring of large areas using micro aerial vehicles with limited sensory information and computational resources

Popis výsledku v původním jazyce

In this paper, a new approach for autonomous real-time monitoring of large areas using small unmanned areal vehicles with limited sensory and computational resources is proposed. Most of the existing solutions of area monitoring require large aerial vehicles to be equipped with a list of expensive sensors and powerful computational resources. Recent progress in Micro Aerial Vehicles (MAVs) allows us to consider their utilization in new tasks, such as the considered compact monitoring, which are dedicated to large well-equipped aerial vehicles so-far only. The proposed solution enables online area monitoring using MAVs equipped with minimal sensory and computational resources and to process the obtained data only with cell phones capabilities, which considerably extends application possibilities of the drone technology. The proposed methodology was verified under various outdoor conditions of real application scenarios with a simple autonomous MAV controlled by the onboard model predictive control in a robotic operation system (ROS), while the user interface was provided on a standard smartphone with Android OS.

Název v anglickém jazyce

Autonomous compact monitoring of large areas using micro aerial vehicles with limited sensory information and computational resources

Popis výsledku anglicky

In this paper, a new approach for autonomous real-time monitoring of large areas using small unmanned areal vehicles with limited sensory and computational resources is proposed. Most of the existing solutions of area monitoring require large aerial vehicles to be equipped with a list of expensive sensors and powerful computational resources. Recent progress in Micro Aerial Vehicles (MAVs) allows us to consider their utilization in new tasks, such as the considered compact monitoring, which are dedicated to large well-equipped aerial vehicles so-far only. The proposed solution enables online area monitoring using MAVs equipped with minimal sensory and computational resources and to process the obtained data only with cell phones capabilities, which considerably extends application possibilities of the drone technology. The proposed methodology was verified under various outdoor conditions of real application scenarios with a simple autonomous MAV controlled by the onboard model predictive control in a robotic operation system (ROS), while the user interface was provided on a standard smartphone with Android OS.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

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 (MESAS 2018)

ISBN

978-3-030-14983-3

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

14

Strana od-do

158-171

Název nakladatele

Springer International Publishing AG

Místo vydání

Cham

Místo konání akce

Praha

Datum konání akce

17. 10. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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