SciELO - Scientific Electronic Library Online

 
vol.28 issue3Application of Regular Grammar in the Syntactic Analysis of Email AddressesComparative Analysis of the Use of Nanosilica and Fly Ash in Hydraulic Concrete author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Ingeniería

Print version ISSN 0121-750X

Abstract

AMEZQUITA, Nicolas et al. Preliminary Approach for UAV-Based Multi-Sensor Platforms for Reconnaissance and Surveillance applications. ing. [online]. 2023, vol.28, n.3, e21035.  Epub Dec 26, 2023. ISSN 0121-750X.  https://doi.org/10.14483/23448393.21035.

Context:

Unmanned Aerial Vehicles (UAVs) equipped with remote sensing platforms have become increasingly popular due to their applications in aerial surveillance, environmental control, and disaster response. However, the limited flight range and on-board energy resources of UAVs pose significant challenges to their practical deployment and operating efficiency, which has led to the exploration of energy-efficient platforms for remote sensing.

Method:

This paper proposes a preliminary approach for UAV multi-sensor reconnaissance and surveillance platforms (MRSS) that target low energy consumption. The approach implemented four sensor modules controlled by one multi-functional integrated edge computer for control and data collection, which can be interchanged according to battery lifetime requirements.

Results:

The main contribution of this work was an analysis of the energy consumption behavior of sensor modules managed by an embedded system with edge computing capabilities as the central control unit.

Conclusions:

The high energy consumption associated with modules such as GEOINT leads to deep discharge in excess of 20% DOD, resulting in a máximum battery degradation of 2,4 years.

Keywords : Unmanned Aerial Vehicles (UAVs); multi-sensor reconnaissance and surveillance system (MRSS); geospatial intelligence (GEOINT); signals intelligence (SIGINT); measurement and signature intelligence (MASINT).

        · abstract in Spanish     · text in English     · English ( pdf )