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Decision Making, Planning, and Control Strategies for Intelligent Vehicles, Cao, Haotian Li, Mingjun Zhao, Song Song, Xiaolin


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Автор: Cao, Haotian Li, Mingjun Zhao, Song Song, Xiaolin   (Хаотян Цао)
Название:  Decision Making, Planning, and Control Strategies for Intelligent Vehicles
Перевод названия: Хаотян Цао: Стратегии принятия решений, планирования и контроля для интеллектуальных транспортных ср
ISBN: 9783031003783
Издательство: Springer
Классификация:



ISBN-10: 3031003780
Обложка/Формат: Paperback
Страницы: 128
Вес: 0.28 кг.
Дата издания: 28.07.2020
Серия: Synthesis lectures on advances in automotive technology
Язык: English
Иллюстрации: Xii, 128 p.
Размер: 235 x 191
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency. While the decision making, planning, and control are extremely vital components of the intelligent vehicle, these modules act as a bridge, connecting the subsystem of the environmental perception and the bottom-level control execution of the vehicle as well. This short book covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system.

More specifically, we introduce an end-to-end decision-making module based on the deep Q-learning, and improved path-planning methods based on artificial potentials and elastic bands which are designed for obstacle avoidance. Then, the optimal method based on the convex optimization and the natural cubic spline is presented. As for the speed planning, planning methods based on the multi-object optimization and high-order polynomials, and a method with convex optimization and natural cubic splines, are proposed for the non-vehicle-following scenario (e.g., free driving, lane change, obstacle avoidance), while the planning method based on vehicle-following kinematics and the model predictive control (MPC) is adopted for the car-following scenario.

We introduce two robust tracking methods for the trajectory following. The first one, based on nonlinear vehicle longitudinal or path-preview dynamic systems, utilizes the adaptive sliding mode control (SMC) law which can compensate for uncertainties to follow the speed or path profiles. The second one is based on the five-degrees-of-freedom nonlinear vehicle dynamical system that utilizes the linearized time-varying MPC to track the speed and path profile simultaneously.

Toward human-automation cooperative driving systems, we introduce two control strategies to address the control authority and conflict management problems between the human driver and the automated driving systems. Driving safety field and game theory are utilized to propose a game-based strategy, which is used to deal with path conflicts during obstacle avoidance. Drivers driving intention, situation assessment, and performance index are employed for the development of the fuzzy-based strategy.

Multiple case studies and demos are included in each chapter to show the effectiveness of the proposed approach. We sincerely hope the contents of this short book provide certain theoretical guidance and technical supports for the development of intelligent vehicle technology.




Hybrid Electric Vehicles

Автор: Simona Onori; Lorenzo Serrao; Giorgio Rizzoni
Название: Hybrid Electric Vehicles
ISBN: 1447167791 ISBN-13(EAN): 9781447167792
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle's power is provided by each source instant by instant.

Hybrid Electric Vehicles

-introduces methods for modeling energy flow in hybrid electric vehicles;

-presents a standard mathematical formulation of the optimal control problem;

-discusses different optimization and control strategies for energy management, integrating the most recent research results; and

-carries out an overall comparison of the different control strategies presented.

Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.

Advances in Unmanned Aerial Vehicles / State of the Art and the Road to Autonomy

Автор: Valavanis Kimon P.
Название: Advances in Unmanned Aerial Vehicles / State of the Art and the Road to Autonomy
ISBN: 1402061137 ISBN-13(EAN): 9781402061134
Издательство: Springer
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Цена: 28734.00 р.
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Описание: There has been tremendous emphasis in unmanned aerial vehicles, both of fixed (airplanes) and rotary wing (vertical take off and landing, helicopters) types over the past ten years. Applications span both civilian and military domains, the latter being the most important at this stage.

Advances in Unmanned Aerial Vehicles

Автор: Kimon P. Valavanis
Название: Advances in Unmanned Aerial Vehicles
ISBN: 9048175402 ISBN-13(EAN): 9789048175406
Издательство: Springer
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Цена: 26120.00 р.
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Описание: The past decade has seen tremendous interest in the production and refinement of unmanned aerial vehicles, both fixed-wing, such as airplanes and rotary-wing, such as helicopters and vertical takeoff and landing vehicles.

Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks

Автор: Mohamed Elhoseny; Aboul Ella Hassanien
Название: Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks
ISBN: 3030227723 ISBN-13(EAN): 9783030227722
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book discusses vehicular communication systems, IoT, intelligent transportation systems and the Internet of Vehicles, and also introduces destination marketing in a structured manner. It is primarily intended for research students interested in emerging technologies for connected Internet of Vehicles and intelligent transportation system networks; academics in higher education institutions, including universities and vocational colleges; IT professionals; policy makers; and legislators. The book can also be used as a reference resource for both undergraduate and graduate studies. Written in plain and simple language, it describes new concepts so that they are accessible to readers without prior knowledge of the field.

Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks: Emerging Technologies for Connected and Smart

Автор: Elhoseny Mohamed, Hassanien Aboul Ella
Название: Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks: Emerging Technologies for Connected and Smart
ISBN: 3030227758 ISBN-13(EAN): 9783030227753
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book discusses vehicular communication systems, IoT, intelligent transportation systems and the Internet of Vehicles, and also introduces destination marketing in a structured manner.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Автор: Liu Teng
Название: Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
ISBN: 1681736187 ISBN-13(EAN): 9781681736181
Издательство: Mare Nostrum (Eurospan)
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Цена: 6237.00 р.
Наличие на складе: Нет в наличии.

Описание:

Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.

Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.

In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.

Intelligent Condition Based Monitoring

Автор: Nishchal K. Verma; Al Salour
Название: Intelligent Condition Based Monitoring
ISBN: 981150511X ISBN-13(EAN): 9789811505119
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.

Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design

Автор: Jacques Periaux; Felipe Gonzalez; Dong Seop Chris
Название: Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design
ISBN: 9401776989 ISBN-13(EAN): 9789401776981
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies.This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization.

Intelligent Transportation Systems

Автор: Muhammad Alam; Joaquim Ferreira; Jos? Fonseca
Название: Intelligent Transportation Systems
ISBN: 331928181X ISBN-13(EAN): 9783319281810
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book presents cutting-edge work onthe most challenging research issues concerning intelligent transportationsystems (ITS), introducing selected, highly relevant advanced research onscheduling and real-time communication for vehicular networks, as well as faulttolerance, test beds and simulations for ITS.

Advanced Motion Control and Sensing for Intelligent Vehicles

Автор: Li Li; Fei-Yue Wang
Название: Advanced Motion Control and Sensing for Intelligent Vehicles
ISBN: 144194270X ISBN-13(EAN): 9781441942708
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book provides the latest information in intelligent vehicle control and intelligent transportation. It includes an extensive review of past and current research achievements in the intelligent vehicle motion control and sensory field, and the book provides a careful assessment of future developments.

Learning and Coordination

Автор: S.H. Kim
Название: Learning and Coordination
ISBN: 9401044422 ISBN-13(EAN): 9789401044424
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Following the general framework for learning systems and its application to neural networks, the coordination of independent agents through game theory is explored.

Artificial Intelligence in Industrial Decision Making, Control and Automation

Автор: S.G. Tzafestas; H. B. Verbruggen
Название: Artificial Intelligence in Industrial Decision Making, Control and Automation
ISBN: 9401041342 ISBN-13(EAN): 9789401041348
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.


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