Navigation has become highly intelligent over the last 100 years. Today, we have autonomous navigation in several vehicles that is being revolutionized through computational intelligence. This book, Advances in Autonomous Navigation through Intelligent Technologies, presents today's issues, solutions, and adaptation techniques for creating safe autonomous navigating vehicles with the use of advanced technologies.
The chapters in the book discuss autonomous navigation as a major issue in robotics and artificial intelligence. The book covers a range of topics that include the architecture of autonomous navigation, algorithms for robot positioning and navigation, methodologies for controlling autonomous systems, self-learning routing protocols for autonomous unmanned aerial networks (A-UAN), and more. The book also covers the concepts and algorithms of mobile devices, sensors, and IoT and other related components required for autonomous navigation. The book includes a survey on smart intrusion detection-enabled flying ad hoc networks (FANETs) (a decentralized communication system solely formed by unmanned aerial vehicles) in healthcare.
Key highlights:
Introduces the concept of autonomous navigation to help readers understand the technology from ground up Covers the architecture, including robot positioning, navigation, and control Provides information about the use of simulation tools and machine learning techniques for the implementation of autonomous navigation Provides in-depth knowledge on the use of emerging technologies in navigation of mobile devices along with the use of ICT in autonomous navigation Discusses the present and the future of the robotics industry
Presenting cutting-edge research in the field of autonomous navigation, this book will serve as a valuable resource for academics, researchers, and others interested in learning about and comprehending the many advancements in autonomous navigation.
