AUTONOMOUS VEHICLES, VOL 1: USING MACHINE INTELLIGENCE (PDF)
Addressing the current challenges, approaches, and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Machine Learning (ML), the Internet of Things (IoT), Deep Learning, and Artificial Intelligence (AI).
This ebook focuses on the challenges, approaches, and applications of autonomous vehicles, utilizing Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Many self-driving or autonomous vehicles such as cars, trucks, and drones use various IoT devices and sensing technologies like sensors, gyroscopes, cloud computing, and fog layer. These technologies enable the vehicles to collect, process, and manage large amounts of data related to traffic, routes, optimal travel times, road conditions, and robots used for inspections in construction and mining industries.
There are only a few ebooks available that discuss the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary perspective. Additionally, existing books only cover limited applications and designs. This groundbreaking volume covers real-life applications, business modeling, issues, and solutions that engineers and industry professionals encounter daily and can be improved through the intelligent system design of autonomous systems. Whether you’re a student, veteran engineer, or industry professional, this book, along with its companion volume, is a must-have for your library.
ISBN: 978-1119871958
NOTE: This ebook sale includes only the ebook Autonomous Vehicles, Volume 1: Using Machine Intelligence in PDF format. No access codes are provided.