Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery
Topics covered include UAV base station placement for optimal communication coverage and minimal interference, surveillance of both flat and uneven terrain, tracking moving targets and disaster areas, optimisation-driven covert video surveillance, and integrating UAVs with public transport for delivery logistics.
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Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery is an authoritative resource offering comprehensive coverage of communication, surveillance, and delivery challenges faced by teams of unmanned aerial vehicles (UAVs).
This study examines various aspects of deploying networks of UAV base stations to provide communication to ground users in disaster areas. It addresses issues such as ground traffic monitoring, surveillance of environmental disaster areas (e.g. brush fires), using UAVs in rescue missions, converting UAV video surveillance, and more. The work blends practical problems with implementable and computationally efficient algorithms, providing mathematically rigorous proofs of each algorithmโs convergence and performance.
One of the innovative examples provided is a novel biologically inspired motion camouflage algorithm to perform covert video surveillance of moving targets using UAVs. The autonomous navigation and deployment algorithms discussed in the book are not only computationally efficient and easily implementable in engineering practice, but they also require limited information about other UAVs and the environment.
Sample topics covered in the book include:
- Deployment of UAV base stations for communication, focusing on maximizing coverage and minimizing interference
- Deployment of UAVs for surveillance of ground areas and targets, including both flat and uneven terrains
- Navigation of UAVs for surveillance of dynamic areas and targets, including disaster-stricken zones and ground traffic
- Autonomous UAV navigation for covert video surveillance, with an emphasis on optimization-based navigation
- Integration of UAVs with public transportation vehicles for parcel delivery, addressing both one-way and round trips
Professionals involved in the navigation and deployment of unmanned aerial vehicles, alongside researchers, engineers, and scientists in related fields, can consult Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery to acquire a broad understanding of the subject, as well as gain access to practical, precise, and validated algorithms suitable for a wide range of practical applications.
Book Details
INFORMATION
ISBN: 9781119870838
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 27 October 2022
Country: United States
Imprint: Wiley-IEEE Press
Audience: Professional and scholarly
DIMENSIONS
Spine width: 10.0mm
Width: 10.0mm
Height: 10.0mm
Weight: 454g
Pages: 272
About the Author
HAILONG HUANG, PhD, is an Assistant Professor at The Hong Kong Polytechnic University, Hong Kong. He is also an Associate Editor for the International Journal of Advanced Robotic Systems. His research interests include multi-robot systems, coverage control; system modeling and simulation.
ANDREY V. SAVKIN, PhD, is a Professor and Head of Systems and Control in the School of Electrical Engineering and Telecommunications at University of New South Wales, Sydney, Australia. He was a co-author of the Wiley title Decentralized Coverage Control Problems for Mobile Robotic Sensor and Actuator Networks (2015).
CHAO HUANG, PhD, is a Research Assistant Professor at The Hong Kong Polytechnic University, Hong Kong. From July 2020 to May 2021, she acted as a Guest Editor for the Spectrum special issue on "Advanced Sensing and Control for Connected and Automated Vehicles".
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