Vehicle Computing
| Author | : Sidi Lu |
| Publisher | : Springer Nature |
| Total Pages | : 248 |
| Release | : |
| Genre | : |
| ISBN | : 3031599632 |
Vehicle Computing
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Vehicular Cloud Computing for Traffic Management and Systems
| Author | : Grover, Jyoti |
| Publisher | : IGI Global |
| Total Pages | : 296 |
| Release | : 2018-06-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1522539824 |
Road accidents caused by impaired and distracted driving as well as traffic congestion are on the rise, with the numbers increasing dramatically every day. Intelligent transportation systems (ITS) aim to improve the efficiency and safety of traveling by consolidating vehicle operations, managing vehicle traffic, and notifying drivers with alerts and safety messages in real time. Vehicular Cloud Computing for Traffic Management and Systems provides innovative research on the rapidly advancing applications of vehicle-to-vehicle and vehicle-to-infrastructure communication. It also covers the need to fully utilize vehicular ad-hoc network (VANET) resources to provide updated and dynamic information about the conditions of road traffic so that the number of road accidents can be minimized. Featuring research on topics such as identity management, computational architecture, and resource management, this book is ideally designed for urban planners, researchers, policy makers, graduate-level students, transportation engineers, and technology developers seeking current research on vehicle computational design, architecture, security, and privacy.
Intelligent Vehicles: Harnessing AI and ML for IoT Edge Computing
| Author | : Vishwanadham Mandala |
| Publisher | : JEC PUBLICATION |
| Total Pages | : 245 |
| Release | : |
| Genre | : History |
| ISBN | : 9361754173 |
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Computing Systems for Autonomous Driving
| Author | : Weisong Shi |
| Publisher | : Springer Nature |
| Total Pages | : 239 |
| Release | : 2021-11-15 |
| Genre | : Computers |
| ISBN | : 3030815641 |
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.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.
Smart Intelligent Computing and Applications, Volume 2
| Author | : Suresh Chandra Satapathy |
| Publisher | : Springer Nature |
| Total Pages | : 607 |
| Release | : 2022-05-21 |
| Genre | : Technology & Engineering |
| ISBN | : 9811697051 |
The proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2020), held at Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India, during 17 – 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.
Computing Systems for Autonomous Driving
| Author | : Weisong Shi |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9783030815653 |
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.
Human Computer Interaction
| Author | : Panayiotis Zaphiris |
| Publisher | : IGI Global |
| Total Pages | : 2765 |
| Release | : 2009-01-01 |
| Genre | : Computers |
| ISBN | : 1605660531 |
Penetrates the human computer interaction (HCI) field with breadth and depth of comprehensive research.
The 7th International Conference on Information Science, Communication and Computing
| Author | : Xuesong Qiu |
| Publisher | : Springer Nature |
| Total Pages | : 362 |
| Release | : 2023-11-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9819971616 |
This conference proceedings is a collection of the accepted papers of ISCC2023 - the 7th International Conference on Information Science, Communication and Computing held in Chongqing, China, 2-5 June 2023. The topics focus on intelligent information science and technology, artificial intelligence and intelligent systems, cloud computing and big data, smart computing and communication technology, wireless network, and cyber security. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows, and undergraduate and graduate students who need to build a knowledge base of the latest advances and state of the practice in the topics covered by this conference proceedings. This will enable them to build, maintain and manage systems of high reliability and complexity. We would like to thank the authors for their hard work and dedication, and the reviewers for ensuring that only the highest quality papers were selected.
Intelligent Technologies for Internet of Vehicles
| Author | : Naercio Magaia |
| Publisher | : Springer Nature |
| Total Pages | : 511 |
| Release | : 2021-06-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3030764931 |
This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.
Collaborative Computing: Networking, Applications and Worksharing
| Author | : Honghao Gao |
| Publisher | : Springer Nature |
| Total Pages | : 481 |
| Release | : 2022-01-01 |
| Genre | : Computers |
| ISBN | : 3030926389 |
This two-volume set constitutes the refereed proceedings of the 17th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 62 full papers and 7 short papers presented were carefully reviewed and selected from 206 submissions. The papers reflect the conference sessions as follows: Optimization for Collaborate System; Optimization based on Collaborative Computing; UVA and Traffic system; Recommendation System; Recommendation System & Network and Security; Network and Security; Network and Security & IoT and Social Networks; IoT and Social Networks & Images handling and human recognition; Images handling and human recognition & Edge Computing; Edge Computing; Edge Computing & Collaborative working; Collaborative working & Deep Learning and application; Deep Learning and application; Deep Learning and application; Deep Learning and application & UVA.
