UAV 3D-Draping System for Sharing Situational Awareness from Aerial Imagery Data

Yamanouchi, Toru; Urakawa, Go; Kashihara, Shigeru

doi:10.1109/ghtc53159.2021.9612450

2021 IEEE Global Humanitarian Technology Conference (GHTC) 2021

DOI: 10.1109/ghtc53159.2021.9612450

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UAV 3D-Draping System for Sharing Situational Awareness from Aerial Imagery Data

Toru Yamanouchi¹,

Go Urakawa

Shigeru Kashihara

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2024

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Cited by 2 publications

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Situation Awareness in AI-Based Technologies and Multimodal Systems: Architectures, Challenges and Applications

Chen,

Seng,

Smith

et al. 2024

IEEE Access

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Situation Awareness in AI-Based Technologies and Multimodal Systems: Architectures, Challenges and Applications

Chen,

Seng,

Smith

et al. 2024

IEEE Access

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Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges

MahmoudZadeh,

Yazdani,

Kalantari

et al. 2024

Robotics

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This paper presents a comprehensive survey of UAV-centric situational awareness (SA), delineating its applications, limitations, and underlying algorithmic challenges. It highlights the pivotal role of advanced algorithmic and strategic insights, including sensor integration, robust communication frameworks, and sophisticated data processing methodologies. The paper critically analyzes multifaceted challenges such as real-time data processing demands, adaptability in dynamic environments, and complexities introduced by advanced AI and machine learning techniques. Key contributions include a detailed exploration of UAV-centric SA’s transformative potential in industries such as precision agriculture, disaster management, and urban infrastructure monitoring, supported by case studies. In addition, the paper delves into algorithmic approaches for path planning and control, as well as strategies for multi-agent cooperative SA, addressing their respective challenges and future directions. Moreover, this paper discusses forthcoming technological advancements, such as energy-efficient AI solutions, aimed at overcoming current limitations. This holistic review provides valuable insights into the UAV-centric SA, establishing a foundation for future research and practical applications in this domain.

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UAV 3D-Draping System for Sharing Situational Awareness from Aerial Imagery Data

Cited by 2 publications

References 9 publications

Situation Awareness in AI-Based Technologies and Multimodal Systems: Architectures, Challenges and Applications

Situation Awareness in AI-Based Technologies and Multimodal Systems: Architectures, Challenges and Applications

Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges

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