Autonomous Vehicles, Volume 2 (Hardcover)
Romil Rawat
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Venditore AbeBooks dal 12 ottobre 2005
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Aggiungere al carrelloVenduto da Grand Eagle Retail, Bensenville, IL, U.S.A.
Venditore AbeBooks dal 12 ottobre 2005
Condizione: Nuovo
Quantità: 1 disponibili
Aggiungere al carrelloHardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Codice articolo 9781394152254
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.
Romil Rawat, PhD, is an assistant professor at Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore. With over 12 years of teaching experience, he has published numerous papers in scholarly journals and conferences. He has also published book chapters and is a board member on two scientific journals. He has received several research grants and has hosted research events, workshops, and training programs. He also has several patents to his credit.
Purvee Bhardwaj, PhD, is the Dean of Physical Science at Rabindranath Tagore University Bhopal MP, India. She has published more than 70 papers in scientific and technical journals and one book. She is a lifetime member of multiple scientific societies and has won numerous awards.
Upinder Kaur, PhD, is an assistant professor and head of the Department of Computer Science and Engineering at Akal University and has over 12 years of experience in academics and research.
Shrikant Telang, is an assistant professor at Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India. With over eight years of teaching and research experience, he has several patents to his credit and has won numerous awards.
Mukesh Chouhan, is an assistant professor and head of the department in the Department of Computer Science & Engineering, Government Polytechnic College, Sanawad, MP, India. He has published several research papers in referred journals, conference papers and book chapters.
K. Sakthidasan Sankaran, is a professor in the Department of Electronics and Communication Engineering at Hindustan Institute of Technology and Science, India. He is a reviewer and an editorial board member for several scholarly journals, and he has published more than 70 papers. He also has three books to his credit.
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