June 16, 2021

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Advances in Intelligent Vehicles

Advances in Intelligent Vehicles
Author : Yaobin Chen,Lingxi Li
Publisher : Academic Press
Release Date : 2014-03-20
Category : Computers
Total pages :336
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Advances in Intelligent Vehicles presents recent advances in intelligent vehicle technologies that enhance the safety, reliability, and performance of vehicles and vehicular networks and systems. This book provides readers with up-to-date research results and cutting-edge technologies in the area of intelligent vehicles and transportation systems. Topics covered include virtual and staged testing scenarios, collision avoidance, human factors, and modeling techniques. The Series in Intelligent Systems publishes titles that cover state-of-the-art knowledge and the latest advances in research and development in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Provides researchers and engineers with up-to-date research results and state-of-the art technologies in the area of intelligent vehicles and transportation systems Covers hot topics, including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; and V2V and V2I communications

Safe, Autonomous and Intelligent Vehicles

Safe, Autonomous and Intelligent Vehicles
Author : Huafeng Yu,Xin Li,Richard M. Murray,S. Ramesh,Claire J. Tomlin
Publisher : Springer
Release Date : 2018-11-14
Category : Technology & Engineering
Total pages :204
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This book covers the start-of-the-art research and development for the emerging area of autonomous and intelligent systems. In particular, the authors emphasize design and validation methodologies to address the grand challenges related to safety. This book offers a holistic view of a broad range of technical aspects (including perception, localization and navigation, motion control, etc.) and application domains (including automobile, aerospace, etc.), presents major challenges and discusses possible solutions.

Autonomous Intelligent Vehicles

Autonomous Intelligent Vehicles
Author : Hong Cheng
Publisher : Springer Science & Business Media
Release Date : 2011-11-15
Category : Computers
Total pages :154
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This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.

Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles

Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles
Author : Donald L. Fisher,William J. Horrey,John D. Lee,Michael A. Regan
Publisher : Unknown
Release Date : 2020
Category : Automobile driving
Total pages :564
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"Automobile crashes are the seventh leading cause of death worldwide, resulting in over 1.25 million deaths yearly. Automated, connected, and intelligent vehicles are predicted to decrease crashes up to 80%. However, the transition will take decades. This new handbook provides both ordinary and vulnerable road users the information about the human driver that they need in a single, integrated compendium in order to ensure that automated, connected and intelligent vehicles reach their full potential of reduced crashes, congestion, and carbon emissions"--

IEEE Intelligent Vehicles Symposium

IEEE Intelligent Vehicles Symposium
Author : Anonim
Publisher : Unknown
Release Date : 2005
Category : Automobile driving
Total pages :129
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Advanced Motion Control and Sensing for Intelligent Vehicles

Advanced Motion Control and Sensing for Intelligent Vehicles
Author : Li Li,Fei-Yue Wang
Publisher : Springer Science & Business Media
Release Date : 2007-11-24
Category : Technology & Engineering
Total pages :448
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This book provides the latest information in intelligent vehicle control and intelligent transportation. Detailed discussions of vehicle dynamics and ground-vehicle interactions are provided for the modeling, simulation and control of vehicles. 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.

Proceedings of the Intelligent Vehicles '93 Symposium

Proceedings of the Intelligent Vehicles '93 Symposium
Author : IEEE Industrial Electronics Society
Publisher : IEEE
Release Date : 1993
Category : Automobile driving
Total pages :496
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On-Road Intelligent Vehicles

On-Road Intelligent Vehicles
Author : Rahul Kala
Publisher : Butterworth-Heinemann
Release Date : 2016-04-27
Category : Technology & Engineering
Total pages :536
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On-Road Intelligent Vehicles: Motion Planning for Intelligent Transportation Systems deals with the technology of autonomous vehicles, with a special focus on the navigation and planning aspects, presenting the information in three parts. Part One deals with the use of different sensors to perceive the environment, thereafter mapping the multi-domain senses to make a map of the operational scenario, including topics such as proximity sensors which give distances to obstacles, vision cameras, and computer vision techniques that may be used to pre-process the image, extract relevant features, and use classification techniques like neural networks and support vector machines for the identification of roads, lanes, vehicles, obstacles, traffic lights, signs, and pedestrians. With a detailed insight into the technology behind the vehicle, Part Two of the book focuses on the problem of motion planning. Numerous planning techniques are discussed and adapted to work for multi-vehicle traffic scenarios, including the use of sampling based approaches comprised of Genetic Algorithm and Rapidly-exploring Random Trees and Graph search based approaches, including a hierarchical decomposition of the algorithm and heuristic selection of nodes for limited exploration, Reactive Planning based approaches, including Fuzzy based planning, Potential Field based planning, and Elastic Strip and logic based planning. Part Three of the book covers the macroscopic concepts related to Intelligent Transportation Systems with a discussion of various topics and concepts related to transportation systems, including a description of traffic flow, the basic theory behind transportation systems, and generation of shock waves. Provides an overall coverage of autonomous vehicles and Intelligent Transportation Systems Presents a detailed overview, followed by the challenging problems of navigation and planning Teaches how to compare, contrast, and differentiate navigation algorithms

Intelligent Autonomous Vehicles 2004 (IAV 2004)

Intelligent Autonomous Vehicles 2004 (IAV 2004)
Author : J. Santos-Victor,M. I. Ribeiro
Publisher : Elsevier Science & Technology
Release Date : 2005
Category : Technology & Engineering
Total pages :967
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Decision Making, Planning, and Control Strategies for Intelligent Vehicles

Decision Making, Planning, and Control Strategies for Intelligent Vehicles
Author : Haotian Cao,Mingjun Li,Song Zhao,Xiaolin Song
Publisher : Morgan & Claypool Publishers
Release Date : 2020-07-28
Category : Computers
Total pages :138
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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.

Intelligent Vehicles

Intelligent Vehicles
Author : Felipe Jimenez
Publisher : Butterworth-Heinemann
Release Date : 2017-09-08
Category : Technology & Engineering
Total pages :504
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Intelligent Road Vehicles examines specific aspects of intelligent vehicles such as enabling technologies, human factors and an analysis of social and economic impacts. The book is an invaluable resource for those pursuing deeper knowledge in the intelligent vehicles field, providing readers with an idea of current and future technologies, current projects and developments and the future of intelligent vehicles. Intelligent road vehicles are becoming a challenging area of research worldwide. Apart from the final applications and systems in vehicles, there are many enabling technologies that should be introduced. Communications and automation are two key areas for future automobiles. This book benefits from collaboration on the Thematic Network on Intelligent Vehicles led by Felipe Jimenez. Provides a general overview of different aspects related to intelligent road vehicles (sensors, applications, communications, automation, human factors, etc.) Addresses the different components and building blocks of intelligent vehicles in a single, comprehensive reference Explains how sensors are interpreted, including how different sensor readings are fused Addresses issues involved with avoiding collisions and other factors such as pot holes, unclear road lines or markings, and unexpected weather conditions

Intelligent Vehicle Highway Systems

Intelligent Vehicle Highway Systems
Author : Richard J. Becherer,Richard Becherer,Society of Photo-optical Instrumentation Engineers
Publisher : Society of Photo Optical
Release Date : 1995
Category : Technology & Engineering
Total pages :320
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Intelligent Vehicles

Intelligent Vehicles
Author : David Fernández-Llorca,Ignacio Parra Alonso,Iván García Daza,Noelia Hernández Parra
Publisher : MDPI
Release Date : 2020-11-24
Category : Technology & Engineering
Total pages :752
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This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue

Information Security of Intelligent Vehicles Communication

Information Security of Intelligent Vehicles Communication
Author : Madhusudan Singh
Publisher : Springer Nature
Release Date : 2021
Category :
Total pages :129
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Vision-based Pedestrian Protection Systems for Intelligent Vehicles

Vision-based Pedestrian Protection Systems for Intelligent Vehicles
Author : David Gerónimo,Antonio M. López
Publisher : Springer Science & Business Media
Release Date : 2013-08-31
Category : Computers
Total pages :114
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Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human’s appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented.