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Complex analysis --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- complexe analyse (wiskunde) --- computerbesturingssystemen --- programmeren (informatica) --- systeemontwikkeling (informatica) --- software engineering --- methodologieën --- OS (operating system)
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This book on computing systems for autonomous driving takes a comprehensive look at the state-of-the-art computing technologies, including computing frameworks, algorithm deployment optimizations, systems runtime optimizations, dataset and benchmarking, simulators, hardware platforms, and smart infrastructures. The objectives of level 4 and level 5 autonomous driving require colossal improvement in the computing for this cyber-physical system. Beginning with a definition of computing systems for autonomous driving, this book introduces promising research topics and serves as a useful starting point for those interested in starting in the field. In addition to the current landscape, the authors examine the remaining open challenges to achieve L4/L5 autonomous driving. Computing Systems for Autonomous Driving provides a good introduction for researchers and prospective practitioners in the field. The book can also serve as a useful reference for university courses on autonomous vehicle technologies.
Transport. Traffic --- Computer architecture. Operating systems --- Computer. Automation --- automatisering --- verkeer --- transport --- algoritmen --- computernetwerken
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Over the past century, vehicles have predominantly functioned as a means of transportation. However, as vehicular computation and communication capacities continue to expand, it is anticipated that upcoming connected vehicle (CVs) will not only serve their conventional transport functions but also act as versatile mobile computing platforms. This book presents the concept of Vehicle Computing, encompassing five primary functionalities of CVs: computation, communication, energy management, sensing, and data storage. It proposes a potential business model and explores the challenges and opportunities associated with these domains. Vehicle Computing serves as an important resource for the research community and practitioners in the field of edge computing and cyber physical system, capturing the essence of a rapidly changing industry, addressing the challenges and opportunities associated with connected vehicles, (including software-defined vehicles, autonomous vehicles, electric vehicles) machine learning, communication, sensing, data storage, energy management, and computer systems. It synthesizes the latest research and real-world applications, offering valuable insights to both academia and industry professionals. Vehicle Computing covers topics such as: The fundamentals of Vehicle Computing, including its historical context and key components. Advanced communication and networking technologies for connected vehicles. Sensing and data acquisition techniques, including edge and cloud computing integration. Energy management and storage, focusing on electric vehicle infrastructure and vehicle-to-grid. Data storage and processing strategies for vehicular environments.
Multiagent systems.
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Cooperating objects (Computer systems).
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Vehicles.
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Transportation engineering.
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Traffic engineering.
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Machine learning.
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Multiagent Systems.
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Cyber-Physical Systems.
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Vehicle Engineering.
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Transportation Technology and Traffic Engineering.
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Machine Learning.
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Over the past century, vehicles have predominantly functioned as a means of transportation. However, as vehicular computation and communication capacities continue to expand, it is anticipated that upcoming connected vehicle (CVs) will not only serve their conventional transport functions but also act as versatile mobile computing platforms. This book presents the concept of Vehicle Computing, encompassing five primary functionalities of CVs: computation, communication, energy management, sensing, and data storage. It proposes a potential business model and explores the challenges and opportunities associated with these domains. Vehicle Computing serves as an important resource for the research community and practitioners in the field of edge computing and cyber physical system, capturing the essence of a rapidly changing industry, addressing the challenges and opportunities associated with connected vehicles, (including software-defined vehicles, autonomous vehicles, electric vehicles) machine learning, communication, sensing, data storage, energy management, and computer systems. It synthesizes the latest research and real-world applications, offering valuable insights to both academia and industry professionals. Vehicle Computing covers topics such as: The fundamentals of Vehicle Computing, including its historical context and key components. Advanced communication and networking technologies for connected vehicles. Sensing and data acquisition techniques, including edge and cloud computing integration. Energy management and storage, focusing on electric vehicle infrastructure and vehicle-to-grid. Data storage and processing strategies for vehicular environments.
Transport. Traffic
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Programming
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Computer. Automation
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verkeer
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programmeren (informatica)
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transport
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algoritmen
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Multiagent systems.
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Cooperating objects (Computer systems).
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Vehicles.
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Transportation engineering.
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Traffic engineering.
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Machine learning.
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Multiagent Systems.
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Cyber-Physical Systems.
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Vehicle Engineering.
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Transportation Technology and Traffic Engineering.
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Machine Learning.
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Cooperating objects (Computer systems)
Choose an application
This book constitutes the refereed proceedings of the 8th IFIP International Conference on Network and Parallel Computing, NPC 2011, held in Changsha, China, in October 2011. The 28 papers presented were carefully reviewed selected from 54 submissions. The papers are organized in the following topical sections: filesystems and data, network and parallel algorithms, cluster and grid, trust and authentication, and monitor, diagnose, and then optimize.
Parallel processing (Electronic computers) --- Computer networks --- Parallel programming (Computer science) --- Computational grids (Computer systems) --- Engineering & Applied Sciences --- Computer Science --- Information Technology --- Computer Science (Hardware & Networks) --- Computer network architectures --- Computer science. --- Software engineering. --- Computer programming. --- Operating systems (Computers). --- Algorithms. --- Computers. --- Computer Science. --- Programming Techniques. --- Computing Methodologies. --- Algorithm Analysis and Problem Complexity. --- Software Engineering. --- Software Engineering/Programming and Operating Systems. --- Operating Systems. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Algorism --- Algebra --- Arithmetic --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Computer software engineering --- Engineering --- Informatics --- Science --- Foundations --- Operating systems --- Programming --- Artificial intelligence. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers
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The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. In Edge Computing: A Primer the vision and definition of Edge computing is introduced, as well as several key techniques that enable Edge computing. Then, four applications that benefit from Edge computing are presented as case studies, ranging from smart homes and public safety to medical services, followed by a discussion of several open challenges and opportunities in Edge computing. Finally, several key tools for edge computing such as virtualization and resource management are explained. .
Data protection. --- Telecommunication. --- Security. --- Communications Engineering, Networks. --- Signal, Image and Speech Processing. --- Information Systems Applications (incl. Internet). --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Data governance --- Data regulation --- Personal data protection --- Protection, Data --- Electronic data processing --- Distributed processing. --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- Edge computing. --- Distributed processing --- Electrical engineering. --- Signal processing. --- Image processing. --- Speech processing systems. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric engineering --- Engineering
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This book constitutes the refereed proceedings of the 8th IFIP International Conference on Network and Parallel Computing, NPC 2011, held in Changsha, China, in October 2011. The 28 papers presented were carefully reviewed selected from 54 submissions. The papers are organized in the following topical sections: filesystems and data, network and parallel algorithms, cluster and grid, trust and authentication, and monitor, diagnose, and then optimize.
Complex analysis --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- complexe analyse (wiskunde) --- computerbesturingssystemen --- programmeren (informatica) --- systeemontwikkeling (informatica) --- software engineering --- methodologieën --- OS (operating system)
Choose an application
Transport. Traffic --- Computer architecture. Operating systems --- Computer. Automation --- automatisering --- verkeer --- transport --- algoritmen --- computernetwerken --- Multiagent systems. --- Transportation engineering --- Traffic engineering --- Awards. --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent --- Intelligent agents (Computer software)
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The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. In Edge Computing: A Primer the vision and definition of Edge computing is introduced, as well as several key techniques that enable Edge computing. Then, four applications that benefit from Edge computing are presented as case studies, ranging from smart homes and public safety to medical services, followed by a discussion of several open challenges and opportunities in Edge computing. Finally, several key tools for edge computing such as virtualization and resource management are explained. .
Telecommunication technology --- Production management --- Mass communications --- Information systems --- Computer. Automation --- beeldverwerking --- spraaktechnologie --- veiligheid (mensen) --- cloud computing --- IoT (Internet of Things) --- informatiesystemen --- tekstverwerking --- computerbeveiliging --- communicatietechnologie --- signaalverwerking
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