Unmanned Aircraft Systems (eBook)

Sachin Kumar Gupta, Manoj Kumar, Shubham Mahajan, Anand Nayyar (Herausgeber)

eBook Download: PDF

2024
684 Seiten
Wiley (Verlag)
978-1-394-23063-1 (ISBN)

Infos

This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development.

With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters.

Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas.

Sachin Kumar Gupta, PhD, is an associate professor in the Department of Electronics and Communication Engineering, Central University of Jamu, India. He has published over 120 research articles in reputed national and international journals and prestigious conference proceedings and is the author of many book chapters, as well as editing numerous books.

Manoj Kumar, PhD, is an associate professor at the Faculty of Engineering and Information Sciences, University of Wollongong, Dubai with over 11 years of experience in academics and corporations. He has published over 100 articles, ten patents, and over ten books with reputed publishers. Additionally, he works in various inter-disciplinary areas including data security, forensics, computer networks, image processing, computer vision, machine learning, and Internet of Things.

Anand Nayyar, PhD, is a professor and scientist, as well as the Vice Chairman of Research at the School of Computer Science, Duy Tan University, Da Nang, Vietnam, as well as the Director of IoT at Intelligent Systems Lab. He is a certified professional with over 150 professional certificates and has published over 200 research papers, over 100 papers in international conferences and over 70 book chapters. Additionally, he has 18 Australian patents, 15 German patents, four Japanese patents, 13 UK patents, 41 Indian patents, one US patent, three Indian copyrights, and two Canadian copyrights to his credit.

Shubham Mahajan, PhD, is an assistant professor at Amity University, India. He has eight Indian, one Australian, and one German patent to his credit in the area of artificial intelligence and image processing. He has authored and co-authored more than 50 publications including peer-reviewed journals and conferences. His main research interests include image processing, video compression, image segmentation, fuzzy entropy, and nature-inspired computing methods with applications in optimization, data mining, machine learning, robotics, and optical communication.

Produkt-Details

• Erscheint lt. Verlag: 11.12.2024
• Sprache: englisch
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: Advanced Cloud • AI-based UAV • AV Design Principles • Deep Learning in UAS • edge computing • Fog Computing • Internet of Things in Aerial Vehicles • machine learning • Multi-Model Sensor Data Fusion in UAS • Sensing Strategies • UAS-UAV Paradigm • UAV Applications and Systems • UAV Fundamentals • UAV sensors • UGV
• ISBN-10: 1-394-23063-X / 139423063X
• ISBN-13: 978-1-394-23063-1 / 9781394230631