Multi-agent Collaborative Perception for Autonomous Driving

Multi-agent Collaborative Perception for Autonomous Driving
Title Multi-agent Collaborative Perception for Autonomous Driving PDF eBook
Author Guang Chen
Publisher SAE International
Pages 26
Release 2023-08-15
Genre Technology & Engineering
ISBN 1468606298

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This report delves into the field of multi-agent collaborative perception (MCP) for autonomous driving: an area that remains unresolved. Current single-agent perception systems suffer from limitations, such as occlusion and sparse sensor observation at a far distance. Multi-agent Collaborative Perception for Autonomous Driving: Unsettled Aspects addresses three unsettled topics that demand immediate attention: Establishing normative communication protocols to facilitate seamless information sharing among vehicles Defining collaboration strategies, including identifying specific collaboration projects, partners, and content, as well as establishing the integration mechanism Collecting sufficient data for MCP model training, including capturing diverse modal data and labeling various downstream tasks as accurately as possible Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2023017

Autonomous Driving Perception

Autonomous Driving Perception
Title Autonomous Driving Perception PDF eBook
Author Rui Fan
Publisher Springer Nature
Pages 391
Release 2023-10-06
Genre Technology & Engineering
ISBN 981994287X

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Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.

2020 International Conference on UK-China Emerging Technologies (UCET)

2020 International Conference on UK-China Emerging Technologies (UCET)
Title 2020 International Conference on UK-China Emerging Technologies (UCET) PDF eBook
Author
Publisher
Pages
Release 2020
Genre
ISBN 9781728194882

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Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control

Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control
Title Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control PDF eBook
Author Zhang Ren
Publisher Springer Nature
Pages 1902
Release 2022-07-29
Genre Technology & Engineering
ISBN 9811939985

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This book includes original, peer-reviewed research papers from the 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2021), held in Shenzhen, China on January 19-22, 2022. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.

Computer Vision – ECCV 2022

Computer Vision – ECCV 2022
Title Computer Vision – ECCV 2022 PDF eBook
Author Shai Avidan
Publisher Springer Nature
Pages 796
Release 2022-11-10
Genre Computers
ISBN 3031198247

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The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Creating Autonomous Vehicle Systems

Creating Autonomous Vehicle Systems
Title Creating Autonomous Vehicle Systems PDF eBook
Author Shaoshan Liu
Publisher Morgan & Claypool Publishers
Pages 285
Release 2017-10-25
Genre Computers
ISBN 1681731673

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This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.

Cooperative Intelligent Transport Systems

Cooperative Intelligent Transport Systems
Title Cooperative Intelligent Transport Systems PDF eBook
Author Léo Mendiboure
Publisher John Wiley & Sons
Pages 372
Release 2024-10-08
Genre Technology & Engineering
ISBN 1394325835

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The advent of the automated and connected vehicle will require the implementation of high-performance communication systems: Cooperative Intelligent Transport Systems (C-ITS). However, controlling and managing these C-ITS is complex. A number of points need to be jointly considered: 1) a high level of performance to guarantee the Quality of Service requirements of vehicular applications (latency, bandwidth, etc.); 2) a sufficient level of security to guarantee the correct operation of applications; and 3) the implementation of an architecture that guarantees interoperability between different communication systems. In response to these issues, this book presents new solutions for the management and control of Intelligent and Cooperative Transport Systems. The proposed solutions have different objectives, ranging from increased safety to higher levels of performance and the implementation of new, more energyefficient mechanisms.