Multi-Faceted Topographic Adaptation 3D Surveillance Management for Theme Park Visitor and Mobile Robot Secretary
Choi, Yumin Kim, Hyunbum Guizani, Mohsen
Choi, Yumin
Kim, Hyunbum
Guizani, Mohsen
Supervisor
Department
Machine Learning
Embargo End Date
Type
Journal article
Date
2025
License
Language
English
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Research Projects
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Abstract
Due to the versatility of robot technology applications, it is essential to study how to apply mobile robots in 3D surveillance environment in order to accomplish proper missions with energy efficiency and maximum performance In particular, mobile robots can be utilized for security purposes in 3D theme park areas so that mobile robots can take a pivot role for topographic adaptation 3D surveillance for visitors with IoT-enabled communication In this paper, we design a multi-faceted surveillance model that takes into account various topographical characteristics of several zones as well as improving the efficiency and responsiveness of surveillance detection by integrating topographic adaptation speed control and precise navigation Then, we give a formal definition of how to minimize the total spent time to satisfy a given surveillance level with a consideration of geographical features and accurate navigation for topographic adaptation 3D surveillance To resolve the problem, three distinct schemes are proposed and their performances are analyzed for earned outcomes through expansive experiments Moreover, this research provides a new perspective on theme park entertainments and relevant public spaces where mobile robots can be operated as secretary © 2018 IEEE
Citation
Y. Choi, H. Kim and M. Guizani, "Multi-Faceted Topographic Adaptation 3D Surveillance Management for Theme Park Visitor and Mobile Robot Secretary," in IEEE Internet of Things Magazine, doi: 10.1109/MIOT.2025.3575931
Source
IEEE Internet of Things Magazine
Conference
Keywords
Communication, IoT, mobile robots, surveillance, theme park
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Source
Publisher
IEEE