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

Access to Document

10.3390/s22155497

Cite this

@article{6c19a80a247145f18ed4f4f34a48c2e6,

title = "Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV",

keywords = "5G, forest health indicators, object detection, real-time monitoring, WebRTC, YOLOv5",

author = "Moad Idrissi and Ambreen Hussain and Bidushi Barua and Ahmed Osman and Raouf Abozariba and Adel Aneiba and Taufiq Asyhari",

year = "2022",

month = jul,

day = "23",

doi = "10.3390/s22155497",

language = "English",

volume = "22",

journal = "Sensors (Switzerland)",

issn = "1424-8220",

publisher = "MDPI",

number = "15",

}

TY - JOUR

T1 - Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV

AU - Idrissi, Moad

AU - Hussain, Ambreen

AU - Barua, Bidushi

AU - Osman, Ahmed

AU - Abozariba, Raouf

AU - Aneiba, Adel

AU - Asyhari, Taufiq

PY - 2022/7/23

Y1 - 2022/7/23

KW - 5G

KW - forest health indicators

KW - object detection

KW - real-time monitoring

KW - WebRTC

KW - YOLOv5

UR - https://www.scopus.com/pages/publications/85135203297

UR - https://www.scopus.com/pages/publications/85135203297#tab=citedBy

U2 - 10.3390/s22155497

DO - 10.3390/s22155497

M3 - Article

C2 - 35898001

AN - SCOPUS:85135203297

SN - 1424-8220

VL - 22

JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

IS - 15

ER -

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

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this