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

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 fr...

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Vydáno v:Robotics (Basel) Ročník 13; číslo 8; s. 117
Hlavní autoři: MahmoudZadeh, Somaiyeh, Yazdani, Amirmehdi, Kalantari, Yashar, Ciftler, Bekir, Aidarus, Fathi, Al Kadri, Mhd Omar
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.08.2024
Témata:
Algorithms
Cooperative control
Data processing
Decision making
deterministic and nondeterministic algorithms
Efficiency
evolutionary and metaheuristics
Forest & brush fires
Machine learning
Memory
multi-agent
Multiagent systems
Perceptions
Reagents
Real time
reinforcement learning
Sensors
Situational awareness
supervised machine learning
UAV and situational awareness
Unmanned aerial vehicles
ISSN:2218-6581, 2218-6581
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Shrnutí: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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ISSN:2218-6581
2218-6581
DOI:10.3390/robotics13080117