AUTONOMOUS VEHICLES The companion to Autonomous Vehicles Volume 1:
Using Machine Intelligence, this second volume in the two-volume
set covers intelligent techniques utilized for designing,
controlling, and managing vehicular systems based on advanced
algorithms of computing like machine learning, artificial
intelligence, data analytics, and Internet of Things (IoT) with
prediction approaches to avoid accidental damages, security
threats, and theft. Besides communicating with other vehicles,
self-driving cars connected to a 5G network will also be able to
communicate with different infrastructure elements that make up our
roads and other transportation and communication systems.
Similarly, an unmanned aerial vehicle (UAV), an aircraft without
any human pilot, crew, or passengers on board, can operate under
remote control by a human operator, as a remotely-piloted aircraft
(RPA), or with various degrees of autonomy. These include autopilot
assistance and fully autonomous aircraft that have no provision for
human intervention. Transportation is a necessary, but often
painful process. With fully autonomous driving, passengers will be
freed to accomplish their own goals, turning the dead hours of
driving into fruitful hours of learning, working, engaging, and
relaxing. Similarly, UAVs can perform functions that human-operated
aircraft cannot, whether because of the environment or high-risk
situations. The purpose of the book is to present the needs,
designs, and applications of autonomous vehicles. The topics
covered range from mechanical engineering to computer science
engineering, both areas playing vital roles in programming,
managing, generating alerts, and GPS position, artificial
intelligence-based prediction of path and events, as well as other
high-tech tools, are covered in this book, as well. 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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