Sensitivity of Robot-Aided Remote Object Detection in Forests under Variation of Light Illumination

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

Sensitivity of Robot-Aided Remote Object Detection in Forests under Variation of Light Illumination

Moad Idrissi^*, Ambreen Hussain, Ahmed Osman, Raouf Abozariba, Bidushi Barua, Adel Aneiba, Rehan Bhana, Taufiq Asyhari

^*Corresponding author for this work

Birmingham City University

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Journal	CEUR Workshop Proceedings
Volume	3135
Publication status	Published (VoR) - 1 Apr 2022
Event	2022 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2022 - Edinburgh, United Kingdom Duration: 29 Mar 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

Forest Health Indicators
GoPro9
Quadruped Robot
RPi
YOLOv5

Access to Document

https://ceur-ws.org/Vol-3135/darliap_paper8.pdfLicence: CC BY

Cite this

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title = "Sensitivity of Robot-Aided Remote Object Detection in Forests under Variation of Light Illumination",

keywords = "Forest Health Indicators, GoPro9, Quadruped Robot, RPi, YOLOv5",

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

note = "Funding Information: 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. Publisher Copyright: {\textcopyright} 2022 Copyright for this paper by its authors.; 2022 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2022 ; Conference date: 29-03-2022",

year = "2022",

month = apr,

day = "1",

language = "English",

volume = "3135",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

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TY - JOUR

T1 - Sensitivity of Robot-Aided Remote Object Detection in Forests under Variation of Light Illumination

AU - Idrissi, Moad

AU - Hussain, Ambreen

AU - Osman, Ahmed

AU - Abozariba, Raouf

AU - Barua, Bidushi

AU - Aneiba, Adel

AU - Bhana, Rehan

AU - Asyhari, Taufiq

N1 - Funding Information: 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. Publisher Copyright: © 2022 Copyright for this paper by its authors.

PY - 2022/4/1

Y1 - 2022/4/1

KW - Forest Health Indicators

KW - GoPro9

KW - Quadruped Robot

KW - RPi

KW - YOLOv5

UR - https://www.open-access.bcu.ac.uk/13319/

M3 - Conference article

AN - SCOPUS:85130710156

SN - 1613-0073

VL - 3135

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2022 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2022

Y2 - 29 March 2022

ER -

Sensitivity of Robot-Aided Remote Object Detection in Forests under Variation of Light Illumination

Funding

Keywords

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