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Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection.

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第一作者： Muhammad Hamza,Zafar

第一单位： Department of Engineering Sciences, University of Agder, Grimstad, Norway.

作者： Muhammad Hamza,Zafar ^[1] ; Syed Kumayl Raza,Moosavi ^[1] ; Filippo,Sanfilippo ^[2]

作者单位： Department of Engineering Sciences, University of Agder, Grimstad, Norway. ^[1] Department of Engineering Sciences, University of Agder, Grimstad, Norway.;Department of Software Engineering, Kaunas University of Technology, Kaunas, Lithuania. ^[2]

关键词 deep learning disaster response human detection multi-modal fusion unmanned ground vehicles (UGVs)

DOI 10.3389/frobt.2024.1356345

PMID 38957217

发布时间 2024-07-04

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Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection.

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Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection.

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