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. Driver's 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.
Автор: Kenzo Nonami; Muljowidodo Kartidjo; Kwang-Joon Yoo Название: Autonomous Control Systems and Vehicles ISBN: 4431542752 ISBN-13(EAN): 9784431542759 Издательство: Springer Рейтинг: Цена: 22797.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers both the theory and application of autonomous control in robotics, autonomous vehicles, intelligent unmanned technologies and biomimetics. The text is enriched with some 300 useful and informative illustrations of unmanned vehicles.
Автор: Gulevets Dmytro, Zaporozhets Artur, Isaienko Volodymyr Название: Environmental Control for Ensuring Cities Safety ISBN: 303066712X ISBN-13(EAN): 9783030667122 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This proceedings book is devoted to the development of environmental analysis of the surface layer of atmospheric air and green areas of urbanized areas. The choice of criteria for assessing the ecological state of the surface layer of atmospheric air is theoretically substantiated.
Автор: Hassanien Название: The Global Environmental Effects During and Beyond COVID-19 ISBN: 3030729354 ISBN-13(EAN): 9783030729356 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims through 11 chapters discussing the problems and challenges and some future research points from the recent technologies point of view such as artificial intelligence and the Internet of things (IoT) that can help the environment and healthcare sectors reducing COVID-19.
Описание: Human trust factors in image analysis.- A visual analytics approach to combat confirmation bias for a local food bank.- Study on impact of time load on searching and recognition of visual information.- Analysis of team situation awareness errors in digital nuclear power plants.- Towards enhanced comprehension of human errors in cybersecurity attacks.- Training for readiness and resilience.- Estimating diagnosis time of emergency situations in digitalized control rooms.- Looking for additional data sources for HRA: Microworlds and beyond.- Study on the randomness of EOM behavior in a nuclear power plant.
Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.
Описание: This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
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.
Автор: Carlos C. Insaurralde Название: Intelligent Autonomy for Unmanned Marine Vehicles ISBN: 3319369245 ISBN-13(EAN): 9783319369242 Издательство: Springer Рейтинг: Цена: 11397.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an Intelligent Control Architecture (ICA) to enable multiple collaborating marine vehicles to autonomously carry out underwater intervention missions. The presented ICA is generic in nature but aimed at a case study where a marine surface craft and an underwater vehicle are required to work cooperatively.
Автор: Li Li; Fei-Yue Wang Название: Advanced Motion Control and Sensing for Intelligent Vehicles ISBN: 144194270X ISBN-13(EAN): 9781441942708 Издательство: Springer Рейтинг: Цена: 22796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book summarizes strategies, methods, algorithms, frameworks and systems for the fault-tolerant design and control of automated vehicles and processes.
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.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
