AUTONOMOUS VEHICLES 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 Internet of Things (IoT), Machine Learning
(ML), Deep Learning, and Artificial Intelligence (AI). This book
provides and addresses the current challenges, approaches, and
applications relating to autonomous vehicles, using Internet of
Things (IoT), machine learning, deep learning, and Artificial
Intelligence (AI) techniques. Several self-driving or autonomous
("driverless") cars, trucks, and drones incorporate a variety of
IoT devices and sensing technologies such as sensors, gyroscopes,
cloud computing, and fog layer, allowing the vehicles to sense,
process, and maintain massive amounts of data on traffic, routes,
suitable times to travel, potholes, sharp turns, and robots for
pipe inspection in the construction and mining industries. Few
books are available on the practical applications of unmanned
aerial vehicles (UAVs) and autonomous vehicles from a
multidisciplinary approach. Further, the available books only cover
a few applications and designs in a very limited scope. This new,
groundbreaking volume covers real-life applications, business
modeling, issues, and solutions that the engineer or industry
professional faces every day that can be transformed using
intelligent systems design of autonomous systems. Whether for the
student, veteran engineer, or another industry professional, this
book, and its companion volume, are must-haves for any library.
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