Collective Perception using UAVs: Autonomous Aerial Reconnaissance in a Complex Urban Environment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F20%3A00555761" target="_blank" >RIV/60162694:G42__/20:00555761 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/20/10/2926" target="_blank" >https://www.mdpi.com/1424-8220/20/10/2926</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s20102926" target="_blank" >10.3390/s20102926</a>

Result language

angličtina

Original language name

Collective Perception using UAVs: Autonomous Aerial Reconnaissance in a Complex Urban Environment

Original language description

This article examines autonomous reconnaissance in a complex urban environment using unmanned aerial vehicles (UAVs). Environments with many buildings and other types of obstacles and/or an uneven terrain are harder to be explored as occlusion of objects of interest may often occur. First, in this article, the problem of autonomous reconnaissance in a complex urban environment via a swarm of UAVs is formulated. Then, the algorithm based on the metaheuristic approach is proposed for a solution. This solution lies in deploying a number of waypoints in the area of interest to be explored, from which the monitoring is performed, and planning the routes for available UAVs among these waypoints so that the monitored area is as large as possible and the operation as short as possible. In the last part of this article, two types of main experiments based on computer simulations are designed to verify the proposed algorithms. The first type focuses on comparing the results achieved on the benchmark instances with the optimal solutions. The second one presents and discusses the results obtained from a number of scenarios, which are based on typical reconnaissance operations in real environments.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

21100 - Other engineering and technologies

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Name of the periodical

Sensors

ISSN

1424-8220

e-ISSN

1424-8220

Volume of the periodical

20

Issue of the periodical within the volume

10

Country of publishing house

CH - SWITZERLAND

Number of pages

27

Pages from-to

2926

UT code for WoS article

000539323700180

EID of the result in the Scopus database

2-s2.0-85085275955