Autonomous Navigation and Deployment of Uavs for Communication, Surveillance and Delivery

Authoritative resource offering coverage of communication, surveillance, and delivery problems for teams of unmanned aerial vehicles (UAVs)

Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery studies various elements of deployment of networks of unmanned aerial vehicle (UAV) base stations for providing communication to ground users in disaster areas, covering problems like 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 combines practical problems, implementable and computationally efficient algorithms to solve these problems, and mathematically rigorous proofs of each algorithm's convergence and performance.

One such example provided by the authors is a novel biologically inspired motion camouflage algorithm to covert video surveillance of moving targets by an unmanned aerial vehicle (UAV). All autonomous navigation and deployment algorithms developed in the book are computationally efficient, easily implementable in engineering practice, and based only on limited information on other UAVs of each and the environment.

Sample topics discussed in the work include:

• Deployment of UAV base stations for communication, especially with regards to maximizing coverage and minimizing interference
• Deployment of UAVs for surveillance of ground areas and targets, including surveillance of both flat and uneven areas
• Navigation of UAVs for surveillance of moving areas and targets, including disaster areas and ground traffic monitoring
• Autonomous UAV navigation for covert video surveillance, offering extensive coverage of optimization-based navigation
• Integration of UAVs and public transportation vehicles for parcel delivery, covering both one-way and round trips

Professionals in navigation and deployment of unmanned aerial vehicles, along with researchers, engineers, scientists in intersecting fields, can use Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery to gain general knowledge on the subject along with practical, precise, and proven algorithms that can be deployed in a myriad of practical situations.

「無人機自主導航與部署：用於通訊、監視和遞送的應用」
「這本權威資源提供了關於無人機團隊在通訊、監視和遞送方面所面臨的問題的涵蓋範圍」。《無人機自主導航與部署：用於通訊、監視和遞送的應用》研究了無人機基站網絡的部署，以提供災區地面用戶的通訊服務，涵蓋了地面交通監測、環境災害區域（如灌木火災）的監視、無人機在救援任務中的應用、轉換無人機視頻監控等問題。本書結合了實際問題、可實施且計算效率高的算法來解決這些問題，並對每個算法的收斂性和性能進行了數學上嚴謹的證明。

作者提供的一個例子是一種新穎的仿生運動偽裝算法，用於無人機對移動目標的視頻監控。本書中開發的所有自主導航和部署算法都具有計算效率高、易於在工程實踐中實施的特點，並且僅基於其他無人機和環境的有限信息。

本書討論的示例主題包括：
- 部署無人機基站進行通訊，特別是在最大化覆蓋範圍和最小化干擾方面的考慮
- 部署無人機監視地面區域和目標，包括平坦和不平坦區域的監視
- 無人機導航監視移動區域和目標，包括災區和地面交通監測
- 用於偽裝視頻監控的自主無人機導航，廣泛涵蓋基於優化的導航方法
- 無人機與公共交通工具的整合進行包裹遞送，包括單程和往返遞送

無人機導航和部署的專業人士，以及相關領域的研究人員、工程師和科學家，可以使用《無人機自主導航與部署：用於通訊、監視和遞送的應用》來獲得該主題的一般知識，以及實用、精確且經過驗證的算法，這些算法可以應用於各種實際情況。

HAILONG HUANG, PhD, is an Assistant Professor at 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 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".

黃海龍博士是香港理工大學的助理教授，同時也是《國際先進機器人系統期刊》的副編輯。他的研究興趣包括多機器人系統、覆蓋控制、系統建模和模擬。

安德烈·V·薩夫金博士是澳大利亞新南威爾斯大學電氣工程與電信學院系統與控制學科的教授和主任。他是Wiley出版社的《分散式移動機器人感測器和執行器網絡的覆蓋控制問題》（2015年）一書的合著者。

黃超博士是香港理工大學的研究助理教授。從2020年7月到2021年5月，她擔任《Spectrum》雜誌“連接和自動化車輛的先進感測和控制”特刊的客座編輯。