Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV

Moad Idrissi; Ambreen Hussain; Bidushi Barua; Ahmed Osman; Raouf Abozariba; Adel Aneiba; Taufiq Asyhari

doi:10.3390/s22155497

Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV

Moad Idrissi, Ambreen Hussain, Bidushi Barua, Ahmed Osman, Raouf Abozariba, Adel Aneiba, Taufiq Asyhari

Birmingham City University

Research output: Contribution to journal › Article › peer-review

22 Citations (SciVal)

Original language	English
Journal	Sensors (Switzerland)
Volume	22
Issue number	15
DOIs	https://doi.org/10.3390/s22155497
Publication status	Published (VoR) - 23 Jul 2022

Funding

This work was funded by the Department for Digital, Culture, Media & Sport (DCMS) as part of the 5G Connected Forest (5GCF) project under its 5G Testbeds and Trials Program.

Keywords

5G
forest health indicators
object detection
real-time monitoring
WebRTC
YOLOv5

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10.3390/s22155497

Cite this

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AU - Abozariba, Raouf

AU - Aneiba, Adel

AU - Asyhari, Taufiq

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KW - real-time monitoring

KW - WebRTC

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Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV

Funding

Keywords

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