Multi-sensor Fusion for Autonomous Driving, Xinyu Zhang
Автор: Thrun, Sebastian Название: Probabilistic robotics ISBN: 0262201623 ISBN-13(EAN): 9780262201629 Издательство: MIT Press Рейтинг: Цена: 14390.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An introduction to the techniques and algorithms of the newest field in robotics.
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Автор: Hang, Peng (nanyang Technological University, Singapore) Lv, Chen (nanyang Technological University, Singapore) Chen, Xinbo (tongji University, China) Название: Human-like decision making and control for autonomous driving ISBN: 1032262087 ISBN-13(EAN): 9781032262086 Издательство: Taylor&Francis Рейтинг: Цена: 13014.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.
Автор: Torchinsky, Jason Название: Robot, take the wheel ISBN: 1948062976 ISBN-13(EAN): 9781948062978 Издательство: Неизвестно Рейтинг: Цена: 2344.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From the star of the YouTube sensation Jason Drives, the senior editor of the acclaimed website Jalopnik, and a producer of Jay Leno`s Garage comes the wittiest and most insightful guide yet to self-driving cars and the road ahead. Self-driving cars sound fantastical and futuristic and yet they`ll soon be on every str
Автор: Wei, Wei (guangzhou University, China) Название: Tof lidar for autonomous driving ISBN: 0750337214 ISBN-13(EAN): 9780750337212 Издательство: Неизвестно Рейтинг: Цена: 39313.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dang, Wenshuan ; Huang, River ; Yu, Yijun Название: Autonomous Driving Network: Network Architecture in the Era of Autonomy ISBN: 1032655062 ISBN-13(EAN): 9781032655062 Издательство: Taylor&Francis Рейтинг: Цена: 21437.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ren Название: Autonomous driving algorithms and Its IC Design ISBN: 9819928966 ISBN-13(EAN): 9789819928965 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the rapid development of artificial intelligence and the emergence of various new sensors, autonomous driving has grown in popularity in recent years. The implementation of autonomous driving requires new sources of sensory data, such as cameras, radars, and lidars, and the algorithm processing requires a high degree of parallel computing. In this regard, traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. Although GPUs are good at training, they are too “power-hungry,” which can affect vehicle performance. Therefore, this book looks to the future, arguing that custom ASICs are bound to become mainstream. With the goal of ICs design for autonomous driving, this book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips. The content is divided into thirteen chapters, the first chapter mainly introduces readers to the current challenges and research directions in autonomous driving. Chapters 2–6 focus on algorithm design for perception and planning control. Chapters 7–10 address the optimization of deep learning models and the design of deep learning chips, while Chapters 11-12 cover automatic driving software architecture design. Chapter 13 discusses the 5G application on autonomous drving. This book is suitable for all undergraduates, graduate students, and engineering technicians who are interested in autonomous driving.
Автор: Grush, Bern (grush Niles Strategic) Niles, John (center For Advanced Transportation And Energy Solutions, Seattle, Wa, Usa) Название: End of driving ISBN: 0128154519 ISBN-13(EAN): 9780128154519 Издательство: Elsevier Science Рейтинг: Цена: 16161.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
While many transportation and city planners, researchers, students, practitioners, and political leaders are familiar with the technical nature and promise of vehicle automation, consensus is not yet often seen on the impact that will result, or the policies and actions that those responsible for transportation systems should take.
The End of Driving: Transportation Systems and Public Policy Planning for Autonomous Vehicles explores both the potential of vehicle automation technology and the barriers it faces when considering coherent urban deployment. The book evaluates the case for deliberate development of automated public transportation and mobility-as-a-service as paths towards sustainable mobility, describing critical approaches to the planning and management of vehicle automation technology. It serves as a reference for understanding the full life cycle of the multi-year transportation systems planning processes, including novel regulation, planning, and acquisition tools for regional transportation.
Application-oriented, research-based, and solution-oriented rather than predict-and-warn, The End of Driving concludes with a detailed discussion of the systems design needed for accomplishing this shift.
From the Foreword by Susan Shaheen: The authors ... extend potential solutions through a set of open-ended exercises after each chapter. Their approach is both strategic and deliberate. They lead the reader from definitions and context setting to the transition toward automation, employing a range of creative strategies and policies. While our quest to understand how to deploy automated vehicles is just beginning, this book provides a thoughtful introduction to inform this evolution.
Offers a workable public transit solution design melding the traditional "acquire-and-operate" mode with the absorption of new technology
Provides a step-by-step discussion of digital systems designs and effective regulation-by-data approaches needed for a new urban mobility
Learning aids include case study scenarios, chapter objectives and discussion questions, sidebars and a glossary
Автор: Stadler Rupert Название: Autonomous Driving ISBN: 1787148343 ISBN-13(EAN): 9781787148345 Издательство: Emerald Рейтинг: Цена: 4673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book looks at the latest advances in autonomous driving, demonstrating that a future once considered science fiction is now close at hand. Acceptance of driverless cars relies on more than just the technology that delivers it; in this book the authors consider the shift in attitudes required for social acceptance and a move towards considering cars one aspect of a wider mobility solution. In addition, a clear demand is arising from gridlocked megacities across the globe. Autonomous driving offers a solution for the high pollution levels and management of the transport infrastructure where current methods are proving insufficient in places of high population density. Having highlighted the need for driverless cars, the book concludes with an ambitious agenda to ensure the successful delivery of autonomous driving. Political requirements, including investment in a new infrastructure and a commitment to collaboration across borders factors in the ten-point plan for governments seeking to establish international leaders in the latest advances in mobility services. From ethical considerations in the programming of automated driving procedures to changes in attitudes towards car ownership and design, this title is a comprehensive look at the latest revolution in mobility.
Описание: This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python environment.
Автор: Natasa Zivic, Obaid Ur-Rehman Название: Security in Autonomous Driving ISBN: 3110627078 ISBN-13(EAN): 9783110627077 Издательство: Walter de Gruyter Цена: 20446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Autonomous driving is an emerging field. Vehicles are equipped with different systems such as radar, lidar, GPS etc. that enable the vehicle to make decisions and navigate without user's input, but there are still concerns regarding safety and security. This book analyses the security needs and solutions which are beneficial to autonomous driving.
Автор: Chai Zhanxiang, Nie Tianxin, Becker Jan Название: Autonomous Driving Changes the Future ISBN: 9811567271 ISBN-13(EAN): 9789811567278 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book systematically discusses the development of autonomous driving, describing the related history, technological advances, infrastructure, social impacts, international competition, China`s opportunities and challenges, and possible future scenarios.
Автор: Chai Zhanxiang, Nie Tianxin, Becker Jan Название: Autonomous Driving Changes the Future ISBN: 9811567301 ISBN-13(EAN): 9789811567308 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book systematically discusses the development of autonomous driving, describing the related history, technological advances, infrastructure, social impacts, international competition, China`s opportunities and challenges, and possible future scenarios.
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