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In order to extend the functionality of head-up displays as an ergonomic driver assistance system an autostereoscopic approach is investigated. Thereby, depth perception is gained by the fusion of two separated images. Adapted simulation methods are developed and used as a basis for the optical design process. Different technological concepts are developed, analyzed in simulation, as well as realized and characterized in prototypical setups.

autostereoscopy --- 3D Display --- Head-up Display --- 3D display --- Fahrerassistenzsystemhead-up display --- Autostereoskopie --- driver assistance system

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The Automotive Handbook, 9th Edition, is the flagship publication in the Bosch handbook series on automotive technologies and is one of the most definitive sets of reference books that automotive engineers have at their disposal.As progress in the field of automotive engineering has grown apace it has expanded from 96 pages in 1936, to 1544 pages today. This new edition is significantly updated, with key changes including coverage of electrical systems and batteries for hybrid drives. Many other new chapters are also included, which cover emergency braking systems, active pedestrian protection and the future of driver assistance.The Automotive Handbook, 9th Edition is a quick and easy reference guide for engineers in industry and also for students in automotive engineering. [Wiley]

Motorcars engineering --- auto's --- 629.3 --- Motor vehicles --- Automotive vehicles --- Transportation, Automotive --- Vehicles --- Automobiles --- Design and construction --- Conception et construction --- ADAS (advanced driver assistance system) --- hybridevoertuigen

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The Special Issue book focuses on highlighting current research and developments in the automation and control field for autonomous systems as well as showcasing state-of-the-art control strategy approaches for autonomous platforms. The book is co-edited by distinguished international control system experts currently based in Sweden, the United States of America, and the United Kingdom, with contributions from reputable researchers from China, Austria, France, the United States of America, Poland, and Hungary, among many others. The editors believe the ten articles published within this Special Issue will be highly appealing to control-systems-related researchers in applications typified in the fields of ground, aerial, maritime vehicles, and robotics as well as industrial audiences.

Technology: general issues --- History of engineering & technology --- neuron PID --- Kalman filtering --- omnidirectional mobile robot --- implementations --- anti-windup --- fault tolerance --- reconfigurable control --- Maglev --- neural networks --- artificial intelligence --- unmanned tracked vehicle --- inertial parameters --- vehicle-terrain interaction --- identification --- recursive least square with exponential forgetting --- generalized Newton–Raphson --- Unscented Kalman Filter --- lane keeping control (LKC) --- non-smooth finite-time control --- previewed tracking --- error weight superposition --- electric vehicle (EV) --- ODD-based AD function design --- path tracking --- path planning --- software architecture --- interface design --- autonomous vehicle --- advanced driver-assistance system --- LPV approach --- robust control --- cruise control --- semi-active suspension control --- passenger comfort --- automated vehicles --- ADAS/AD functions --- C-ITS --- IVIM --- infrastructure assistance --- routing recommendations --- autonomous driving --- active learning --- formal methods --- model-based engineering --- automata learning --- unmanned vehicle --- nonlinear model prediction controller --- trajectory tracking --- outdoor field test --- vehicle following --- path following --- splines --- spline approximation --- n/a --- generalized Newton-Raphson

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Advanced intelligent (ADI) control through Versatile Intelligent Portable (VIP) Platforms is a rapidly developing, complex, challenging field with great practical importance and potential. ADI control is an interdisciplinary field which combines and extends theories and methods from control theory, computer science, and operations research areas with the aim of developing controllers that are highly adaptable to significant unanticipated changes. Deep research and communicating new trends in the design, control, and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this book. Innovative multi-sensor fusion techniques, integrated through VIP platforms, are developed and combined with computer vision, virtual and augmented reality (VR&AR), and intelligent communication, including remote control, adaptive sensor networks, human–robot (H2R) interaction systems, and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough set-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision-based DSS, and sensory and robotic DSS are highlighted in the field of advanced intelligent control. Approaching new technologies using advanced intelligent control through versatile intelligent portable platforms involves complex multidisciplinary research covering enhanced IoT technologies and applications in the 5G densification era, bio-inspired techniques in future manufacturing enterprise control, cyberphysical systems approach to cognitive enterprise, developing the IT Industry 4.0 concept, industrial systems in the digital age, cloud computing, robotics, and automation with applications such as human aid mechatronics moving in unstructured and uneven environments, rescue robots, firefighting robots, rehabilitation robots, robot-assisted surgery, and domestic robots.

Passive Brain Signals --- adaptive automation and controller --- EOG artifact --- independent component analysis --- engagement index --- lower limb --- rehabilitation robot --- motion intention acquisition --- static torque sensor --- quadcopter --- drone --- pollutant --- carbon --- air monitoring --- kernel --- cyber-physical systems --- intelligent cyber enterprise --- systems interface --- user experience --- accessibility --- autism spectrum disorder --- game-based learning --- systematic literature review --- exoskeleton hand --- fractional order model --- control --- human–robot interaction --- training task --- multi-sensor system --- quantum particle swarm optimization --- support vector machines --- microinjection sensor --- PDMS capillary --- micro-wire --- picolitre volume measurement --- MPWM microfluidic transport --- β-Ga2O3 --- nanowires --- oxidation --- silver catalyst --- electrical conductivity --- photodetector --- automatic distortion rectification --- wide-angle lens --- fish-eye lens --- advanced driver-assistance system (ADAS) --- video-surveillance --- vision tasks --- connected bike --- smart technologies --- IoT --- personalized training --- embedded --- back-end --- front-end --- Android --- modules --- MQTT --- monitoring --- 3D scanning --- 3D shape reconstruction --- RGB-D sensors --- imperfect data --- hybrid neural networks --- computer vision --- deep learning --- convolutional neural networks --- advanced intelligent control --- facial emotion recognition --- face recognition --- NAO robot --- critical infrastructures --- positioning system --- optical measurements --- fiducial markers --- adaptive kalman --- measurement fusion --- software sensor data --- machine-learning classifier --- smartphone security --- intelligent control --- robot control intelligent sensor systems --- intelligent decision support systems --- versatile intelligent portable platforms --- new technologies --- adaptive sensor networks --- virtual and augmented reality --- intelligent remote control and communication

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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

tracking-by-detection --- multi-vehicle tracking --- Siamese network --- data association --- Markov decision process --- driving behavior --- real-time monitoring --- driver distraction --- mobile application --- portable system --- simulation test --- dynamic driving behavior --- traffic scene augmentation --- corridor model --- IMU --- vision --- classification networks --- Hough transform --- lane markings detection --- semantic segmentation --- transfer learning --- autonomous --- off-road driving --- tire-road forces estimation --- slip angle estimation --- gauge sensors --- fuzzy logic system --- load transfer estimation --- simulation results --- normalization --- lateral force empirical model --- driver monitor --- lane departure --- statistical process control --- fault detection --- sensor fault --- signal restoration --- intelligent vehicle --- autonomous vehicle --- kinematic model --- visual SLAM --- sparse direct method --- photometric calibration --- corner detection and filtering --- loop closure detection --- road friction coefficient --- tire model --- nonlinear observer --- self-aligning torque --- lateral displacement --- Lyapunov method --- automatic parking system (APS) --- end-to-end parking --- reinforcement learning --- parking slot tracking --- deceleration planning --- multi-layer perceptron --- smart regenerative braking --- electric vehicles --- vehicle speed prediction --- driver behavior modeling --- electric vehicle control --- driver characteristics online learning --- objects’ edge detection --- stixel histograms accumulate --- point cloud segmentation --- autonomous vehicles --- scene understanding --- occlusion reasoning --- road detection --- advanced driver assistance system --- trajectory prediction --- risk assessment --- collision warning --- connected vehicles --- vehicular communications --- vulnerable road users --- fail-operational systems --- fall-back strategy --- automated driving --- advanced driving assistance systems --- illumination --- shadow detection --- shadow edge --- image processing --- traffic light detection --- intelligent transportation system --- lane-changing --- merging maneuvers --- game theory --- decision-making --- intelligent vehicles --- model predictive controller --- automatic train operation --- softness factor --- fusion velocity --- online obtaining --- hardware-in-the-loop simulation --- driving assistant --- driving diagnosis --- accident risk maps --- driving safety --- intelligent driving --- virtual test environment --- millimeter wave radar --- lane-change decision --- risk perception --- mixed traffic --- minimum safe deceleration --- automated driving system (ADS) --- sensor fusion --- multi-lane detection --- particle filter --- self-driving car --- unscented Kalman filter --- vehicle model --- Monte Carlo localization --- millimeter-wave radar --- square-root cubature Kalman filter --- Sage-Husa algorithm --- target tracking --- stationary and moving object classification --- localization --- LiDAR --- GNSS --- Global Positioning System (GPS) --- monte carlo --- autonomous driving --- robot motion --- path planning --- piecewise linear approximation --- multiple-target path planning --- autonomous mobile robot --- homotopy based path planning --- LiDAR signal processing --- sensor and information fusion --- advanced driver assistance systems --- autonomous racing --- high-speed camera --- real-time systems --- LiDAR odometry --- fail-aware --- sensors --- sensing --- percepction --- object detection and tracking --- scene segmentation --- vehicle positioning --- fail-x systems --- driver behavior modelling --- automatic operation