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IET intelligent transport systems.
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ISSN: 17519578 1751956X Year: 2007 Publisher: Stevenage, UK : [Hoboken N.J.] : Institution of Engineering and Technology John Wiley & Sons Inc. [on behalf of The Institution of Engineering and Technology]


Book
Machine Learning in Sensors and Imaging
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Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications. This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens.

Keywords

star image --- image denoising --- reinforcement learning --- maximum likelihood estimation --- mixed Poisson–Gaussian likelihood --- machine learning-based classification --- non-uniform foundation --- stochastic analysis --- vehicle–pavement–foundation interaction --- forest growing stem volume --- coniferous plantations --- variable selection --- texture feature --- random forest --- red-edge band --- on-shelf availability --- semi-supervised learning --- deep learning --- image classification --- machine learning --- explainable artificial intelligence --- wildfire --- risk assessment --- Naïve bayes --- transmission-line corridors --- image encryption --- compressive sensing --- plaintext related --- chaotic system --- convolutional neural network --- color prior model --- object detection --- piston error detection --- segmented telescope --- BP artificial neural network --- modulation transfer function --- computer vision --- intelligent vehicles --- extrinsic camera calibration --- structure from motion --- convex optimization --- temperature estimation --- BLDC --- electric machine protection --- touchscreen --- capacitive --- display --- SNR --- stylus --- laser cutting --- quality monitoring --- artificial neural network --- burr formation --- cut interruption --- fiber laser --- semi-supervised --- fuzzy --- noisy --- real-world --- plankton --- marine --- activity recognition --- wearable sensors --- imbalanced activities --- sampling methods --- path planning --- Q-learning --- neural network --- YOLO algorithm --- robot arm --- target reaching --- obstacle avoidance


Book
Machine Learning in Sensors and Imaging
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications. This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens.

Keywords

Technology: general issues --- History of engineering & technology --- star image --- image denoising --- reinforcement learning --- maximum likelihood estimation --- mixed Poisson–Gaussian likelihood --- machine learning-based classification --- non-uniform foundation --- stochastic analysis --- vehicle–pavement–foundation interaction --- forest growing stem volume --- coniferous plantations --- variable selection --- texture feature --- random forest --- red-edge band --- on-shelf availability --- semi-supervised learning --- deep learning --- image classification --- machine learning --- explainable artificial intelligence --- wildfire --- risk assessment --- Naïve bayes --- transmission-line corridors --- image encryption --- compressive sensing --- plaintext related --- chaotic system --- convolutional neural network --- color prior model --- object detection --- piston error detection --- segmented telescope --- BP artificial neural network --- modulation transfer function --- computer vision --- intelligent vehicles --- extrinsic camera calibration --- structure from motion --- convex optimization --- temperature estimation --- BLDC --- electric machine protection --- touchscreen --- capacitive --- display --- SNR --- stylus --- laser cutting --- quality monitoring --- artificial neural network --- burr formation --- cut interruption --- fiber laser --- semi-supervised --- fuzzy --- noisy --- real-world --- plankton --- marine --- activity recognition --- wearable sensors --- imbalanced activities --- sampling methods --- path planning --- Q-learning --- neural network --- YOLO algorithm --- robot arm --- target reaching --- obstacle avoidance --- star image --- image denoising --- reinforcement learning --- maximum likelihood estimation --- mixed Poisson–Gaussian likelihood --- machine learning-based classification --- non-uniform foundation --- stochastic analysis --- vehicle–pavement–foundation interaction --- forest growing stem volume --- coniferous plantations --- variable selection --- texture feature --- random forest --- red-edge band --- on-shelf availability --- semi-supervised learning --- deep learning --- image classification --- machine learning --- explainable artificial intelligence --- wildfire --- risk assessment --- Naïve bayes --- transmission-line corridors --- image encryption --- compressive sensing --- plaintext related --- chaotic system --- convolutional neural network --- color prior model --- object detection --- piston error detection --- segmented telescope --- BP artificial neural network --- modulation transfer function --- computer vision --- intelligent vehicles --- extrinsic camera calibration --- structure from motion --- convex optimization --- temperature estimation --- BLDC --- electric machine protection --- touchscreen --- capacitive --- display --- SNR --- stylus --- laser cutting --- quality monitoring --- artificial neural network --- burr formation --- cut interruption --- fiber laser --- semi-supervised --- fuzzy --- noisy --- real-world --- plankton --- marine --- activity recognition --- wearable sensors --- imbalanced activities --- sampling methods --- path planning --- Q-learning --- neural network --- YOLO algorithm --- robot arm --- target reaching --- obstacle avoidance


Book
Actuators for Intelligent Electric Vehicles
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs.

Keywords

Technology: general issues --- History of engineering & technology --- Mechanical engineering & materials --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution


Book
Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles
Authors: --- --- --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book summarizes the latest developments in the area of human factors test and evaluation methods for automated vehicles. Future vehicles will allow a transition of responsibility from the driver to the automated driving system and vice versa. Drivers will have the opportunity to use a wide variety of different driver assistance systems within the same vehicle. This coexistence of different automation levels creates new challenges in the design of the vehicle’s human–machine interface (HMI), which have to be accounted for by human factors experts, both in industrial design and in academia. This book brings together the latest developments, empirical evaluations and guidelines on various topics, such as the design and evaluation of interior as well as exterior HMIs for automated vehicles, and the assessment of the impact of automated vehicles on non-automated road users and driver state assessment (e.g., fatigue, motion sickness, fallback readiness) during automated driving.

Keywords

History of engineering & technology --- virtual reality --- automated driving --- pedestrians --- decision making --- crossing --- eHMI --- eye-tracking --- attention distribution --- road safety --- driverless vehicles --- behavioural adaptation --- SAE L3 motorway chauffeur --- system usage --- acceptance --- attention --- secondary task --- highly automated driving --- HAD --- takeover --- conditional automation --- intelligent vehicles --- objective complexity --- subjective complexity --- familiarity --- cognitive assistance --- takeover quality --- standardized test procedure --- use cases --- test protocol --- Adaptive HMI --- automotive user interfaces --- driver behaviour --- automated vehicles --- automated driving systems --- HMI --- guidelines --- heuristic evaluation --- checklist --- expert evaluation --- human-machine interface --- mode awareness --- conditionally automated driving --- human–machine interface --- usability --- validity --- method development --- motion sickness --- methodology --- driving comfort --- multi-vehicle simulation --- mixed traffic --- measurement method --- SAE Level 2 --- SAE Level 3 --- human factors --- human machine interface --- controllability --- L3Pilot --- marking automated vehicles --- automated vehicles―human drivers interaction --- explicit communication --- external human-machine interface --- (automated) vehicle–pedestrian interaction --- implicit communication --- Wizard of Oz --- video --- setup comparison/method comparison --- partially automated driving --- non-driving related tasks --- take-over situations --- test protocol development --- user studies (simulator --- closed circuit) --- sleep --- sleep inertia --- HMI design --- external human–machine interface --- interface size --- legibility --- spatiotemporal displays --- sensory augmentation --- reliability display --- uncertainty encoding --- automotive hmi --- human-machine cooperation --- cooperative driver assistance --- state transparency display --- self-driving vehicles --- test methods --- evaluation --- user studies --- driver state --- discomfort --- psychophysiology --- heart-rate variability (HRV) --- skin conductance response (SCR) --- highly automated driving (HAD) --- virtual reality --- automated driving --- pedestrians --- decision making --- crossing --- eHMI --- eye-tracking --- attention distribution --- road safety --- driverless vehicles --- behavioural adaptation --- SAE L3 motorway chauffeur --- system usage --- acceptance --- attention --- secondary task --- highly automated driving --- HAD --- takeover --- conditional automation --- intelligent vehicles --- objective complexity --- subjective complexity --- familiarity --- cognitive assistance --- takeover quality --- standardized test procedure --- use cases --- test protocol --- Adaptive HMI --- automotive user interfaces --- driver behaviour --- automated vehicles --- automated driving systems --- HMI --- guidelines --- heuristic evaluation --- checklist --- expert evaluation --- human-machine interface --- mode awareness --- conditionally automated driving --- human–machine interface --- usability --- validity --- method development --- motion sickness --- methodology --- driving comfort --- multi-vehicle simulation --- mixed traffic --- measurement method --- SAE Level 2 --- SAE Level 3 --- human factors --- human machine interface --- controllability --- L3Pilot --- marking automated vehicles --- automated vehicles―human drivers interaction --- explicit communication --- external human-machine interface --- (automated) vehicle–pedestrian interaction --- implicit communication --- Wizard of Oz --- video --- setup comparison/method comparison --- partially automated driving --- non-driving related tasks --- take-over situations --- test protocol development --- user studies (simulator --- closed circuit) --- sleep --- sleep inertia --- HMI design --- external human–machine interface --- interface size --- legibility --- spatiotemporal displays --- sensory augmentation --- reliability display --- uncertainty encoding --- automotive hmi --- human-machine cooperation --- cooperative driver assistance --- state transparency display --- self-driving vehicles --- test methods --- evaluation --- user studies --- driver state --- discomfort --- psychophysiology --- heart-rate variability (HRV) --- skin conductance response (SCR) --- highly automated driving (HAD)


Book
Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles
Authors: --- --- --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

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Bookmark

Abstract

This book summarizes the latest developments in the area of human factors test and evaluation methods for automated vehicles. Future vehicles will allow a transition of responsibility from the driver to the automated driving system and vice versa. Drivers will have the opportunity to use a wide variety of different driver assistance systems within the same vehicle. This coexistence of different automation levels creates new challenges in the design of the vehicle’s human–machine interface (HMI), which have to be accounted for by human factors experts, both in industrial design and in academia. This book brings together the latest developments, empirical evaluations and guidelines on various topics, such as the design and evaluation of interior as well as exterior HMIs for automated vehicles, and the assessment of the impact of automated vehicles on non-automated road users and driver state assessment (e.g., fatigue, motion sickness, fallback readiness) during automated driving.

Keywords

History of engineering & technology --- virtual reality --- automated driving --- pedestrians --- decision making --- crossing --- eHMI --- eye-tracking --- attention distribution --- road safety --- driverless vehicles --- behavioural adaptation --- SAE L3 motorway chauffeur --- system usage --- acceptance --- attention --- secondary task --- highly automated driving --- HAD --- takeover --- conditional automation --- intelligent vehicles --- objective complexity --- subjective complexity --- familiarity --- cognitive assistance --- takeover quality --- standardized test procedure --- use cases --- test protocol --- Adaptive HMI --- automotive user interfaces --- driver behaviour --- automated vehicles --- automated driving systems --- HMI --- guidelines --- heuristic evaluation --- checklist --- expert evaluation --- human-machine interface --- mode awareness --- conditionally automated driving --- human–machine interface --- usability --- validity --- method development --- motion sickness --- methodology --- driving comfort --- multi-vehicle simulation --- mixed traffic --- measurement method --- SAE Level 2 --- SAE Level 3 --- human factors --- human machine interface --- controllability --- L3Pilot --- marking automated vehicles --- automated vehicles―human drivers interaction --- explicit communication --- external human-machine interface --- (automated) vehicle–pedestrian interaction --- implicit communication --- Wizard of Oz --- video --- setup comparison/method comparison --- partially automated driving --- non-driving related tasks --- take-over situations --- test protocol development --- user studies (simulator --- closed circuit) --- sleep --- sleep inertia --- HMI design --- external human–machine interface --- interface size --- legibility --- spatiotemporal displays --- sensory augmentation --- reliability display --- uncertainty encoding --- automotive hmi --- human-machine cooperation --- cooperative driver assistance --- state transparency display --- self-driving vehicles --- test methods --- evaluation --- user studies --- driver state --- discomfort --- psychophysiology --- heart-rate variability (HRV) --- skin conductance response (SCR) --- highly automated driving (HAD)


Book
Machine Learning in Sensors and Imaging
Author:
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Export citation

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Bookmark

Abstract

Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications. This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens.

Keywords

Technology: general issues --- History of engineering & technology --- star image --- image denoising --- reinforcement learning --- maximum likelihood estimation --- mixed Poisson–Gaussian likelihood --- machine learning-based classification --- non-uniform foundation --- stochastic analysis --- vehicle–pavement–foundation interaction --- forest growing stem volume --- coniferous plantations --- variable selection --- texture feature --- random forest --- red-edge band --- on-shelf availability --- semi-supervised learning --- deep learning --- image classification --- machine learning --- explainable artificial intelligence --- wildfire --- risk assessment --- Naïve bayes --- transmission-line corridors --- image encryption --- compressive sensing --- plaintext related --- chaotic system --- convolutional neural network --- color prior model --- object detection --- piston error detection --- segmented telescope --- BP artificial neural network --- modulation transfer function --- computer vision --- intelligent vehicles --- extrinsic camera calibration --- structure from motion --- convex optimization --- temperature estimation --- BLDC --- electric machine protection --- touchscreen --- capacitive --- display --- SNR --- stylus --- laser cutting --- quality monitoring --- artificial neural network --- burr formation --- cut interruption --- fiber laser --- semi-supervised --- fuzzy --- noisy --- real-world --- plankton --- marine --- activity recognition --- wearable sensors --- imbalanced activities --- sampling methods --- path planning --- Q-learning --- neural network --- YOLO algorithm --- robot arm --- target reaching --- obstacle avoidance


Book
Actuators for Intelligent Electric Vehicles
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book details the advanced actuators for IEVs and the control algorithm design. In the actuator design, the configuration four-wheel independent drive/steering electric vehicles is reviewed. An in-wheel two-speed AMT with selectable one-way clutch is designed for IEV. Considering uncertainties, the optimization design for the planetary gear train of IEV is conducted. An electric power steering system is designed for IEV. In addition, advanced control algorithms are proposed in favour of active safety improvement. A supervision mechanism is applied to the segment drift control of autonomous driving. Double super-resolution network is used to design the intelligent driving algorithm. Torque distribution control technology and four-wheel steering technology are utilized for path tracking and adaptive cruise control. To advance the control accuracy, advanced estimation algorithms are studied in this book. The tyre-road peak friction coefficient under full slip rate range is identified based on the normalized tyre model. The pressure of the electro-hydraulic brake system is estimated based on signal fusion. Besides, a multi-semantic driver behaviour recognition model of autonomous vehicles is designed using confidence fusion mechanism. Moreover, a mono-vision based lateral localization system of low-cost autonomous vehicles is proposed with deep learning curb detection. To sum up, the discussed advanced actuators, control and estimation algorithms are beneficial to the active safety improvement of IEVs.

Keywords

Technology: general issues --- History of engineering & technology --- Mechanical engineering & materials --- curb detection --- intelligent vehicles --- autonomous driving --- electro-hydraulic brake system --- master cylinder pressure estimation --- vehicle longitudinal dynamics --- brake linings’ coefficient of friction --- ACC --- safety evaluation --- human-like evaluation --- naturalistic driving study --- driving behavior characteristic --- electric vehicles --- independent drive --- direct yaw control --- torque distribution --- ultra-wideband --- relative localization --- enhanced precision --- clock self-correction --- homotopy --- Levenberg–Marquardt --- electric power steering --- steering actuator --- driverless racing vehicles --- control --- autonomous vehicles --- lane-changing --- decision-making --- path planning --- four-wheel independent drive --- four-wheel independent steering --- path tracking --- handling stability --- active safety control --- electric vehicle --- intelligent sanitation vehicle --- trash can-handling robot --- truss structure --- multi-objective parameter optimization --- topology optimization --- discrete optimization --- multiple load cases --- intelligent electric vehicles --- driver behavior recognition --- multi-semantic description --- confidence fusion --- drift parking --- open-loop control --- supervision mechanism --- two-speed AMT --- in-wheel-drive --- shifting process --- selectable one-way clutch --- five-degree-of-freedom vehicle model --- pressure–position model --- recursive least square --- advanced driver assistant systems --- adaptive cruise control --- direct yaw moment control --- extension control --- model predictive control --- optimization design --- vehicle structure design --- uncertainty --- deceleration device --- tyre-road peak friction coefficient estimation --- tyre model --- normalization --- incentive sensitivity --- four-wheel steering --- semantic segmentation --- high-resolution atlas training --- super-resolution


Book
Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Recent trends in vehicle engineering are testament to the great efforts that scientists and industries have made to seek solutions to enhance both the performance and safety of vehicular systems. This Special Issue aims to contribute to the study of modern vehicle dynamics, attracting recent experimental and in-simulation advances that are the basis for current technological growth and future mobility. The area involves research, studies, and projects derived from vehicle dynamics that aim to enhance vehicle performance in terms of handling, comfort, and adherence, and to examine safety optimization in the emerging contexts of smart, connected, and autonomous driving.This Special Issue focuses on new findings in the following topics:(1) Experimental and modelling activities that aim to investigate interaction phenomena from the macroscale, analyzing vehicle data, to the microscale, accounting for local contact mechanics; (2) Control strategies focused on vehicle performance enhancement, in terms of handling/grip, comfort and safety for passengers, motorsports, and future mobility scenarios; (3) Innovative technologies to improve the safety and performance of the vehicle and its subsystems; (4) Identification of vehicle and tire/wheel model parameters and status with innovative methodologies and algorithms; (5) Implementation of real-time software, logics, and models in onboard architectures and driving simulators; (6) Studies and analyses oriented toward the correlation among the factors affecting vehicle performance and safety; (7) Application use cases in road and off-road vehicles, e-bikes, motorcycles, buses, trucks, etc.

Keywords

Technology: general issues --- History of engineering & technology --- tire model parameters identification --- artificial neural networks --- curve fitting --- Pacejka’s magic formula --- intelligent vehicles --- autonomous vehicles --- microscopic traffic simulation --- autonomous driving --- friction estimate --- tire-based control --- ADAS --- potential friction --- energy consumption and recovery --- transmission layouts --- fuel-cell electric vehicles --- adhesion enhancement --- dimple model --- patterned surfaces --- viscoelasticity --- enhancement --- articulated vehicles --- stability analysis --- nonlinear dynamic model --- snake instability --- eigenvalue analysis --- central control --- non-linear model-based predictive control --- pitch behavior --- predictive control --- roll behavior --- self-steering behavior --- vehicle dynamics --- viscoelastic modulus --- rubber --- friction --- empirical modeling --- autonomous emergency steering --- multi-input multi-output model predictive control --- actuator dynamics --- control allocation --- handling enhancement --- road friction --- wear --- tyre --- suspension --- semi-active --- handling --- comfort --- optimisation --- directional stability --- road profile --- road unevenness --- vehicle-road interaction --- vertical vehicle excitation --- tire models --- tire tread --- motorcycle --- rider --- screw axis --- weave --- wobble --- multibody --- gravel pavement --- roughness --- straightedge --- power spectral density --- international roughness index --- vehicle response --- driving comfort --- sky-hook --- in-wheel motor --- semi-active suspension --- quarter-car model --- suspension performance --- suspension test bench --- vehicle stability --- road models --- quarter car models --- limit cycles --- acceleration speed portraits --- speed oscillations --- velocity bifurcations --- noisy limit cycles --- limit flows of trajectories --- Sommerfeld effects --- differential-algebraic systems --- polar coordinates of roads --- covariance equations --- stability in mean --- supercritical speeds --- analytical travel speed amplitudes --- Floquet theory applied to limit cycles --- non-pneumatic tire --- finite element analysis --- steady state analysis --- tire characterization --- footprint --- contact patch --- longitudinal interaction --- n/a --- Pacejka's magic formula


Book
Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact
Authors: --- ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Recent trends in vehicle engineering are testament to the great efforts that scientists and industries have made to seek solutions to enhance both the performance and safety of vehicular systems. This Special Issue aims to contribute to the study of modern vehicle dynamics, attracting recent experimental and in-simulation advances that are the basis for current technological growth and future mobility. The area involves research, studies, and projects derived from vehicle dynamics that aim to enhance vehicle performance in terms of handling, comfort, and adherence, and to examine safety optimization in the emerging contexts of smart, connected, and autonomous driving.This Special Issue focuses on new findings in the following topics:(1) Experimental and modelling activities that aim to investigate interaction phenomena from the macroscale, analyzing vehicle data, to the microscale, accounting for local contact mechanics; (2) Control strategies focused on vehicle performance enhancement, in terms of handling/grip, comfort and safety for passengers, motorsports, and future mobility scenarios; (3) Innovative technologies to improve the safety and performance of the vehicle and its subsystems; (4) Identification of vehicle and tire/wheel model parameters and status with innovative methodologies and algorithms; (5) Implementation of real-time software, logics, and models in onboard architectures and driving simulators; (6) Studies and analyses oriented toward the correlation among the factors affecting vehicle performance and safety; (7) Application use cases in road and off-road vehicles, e-bikes, motorcycles, buses, trucks, etc.

Keywords

tire model parameters identification --- artificial neural networks --- curve fitting --- Pacejka’s magic formula --- intelligent vehicles --- autonomous vehicles --- microscopic traffic simulation --- autonomous driving --- friction estimate --- tire-based control --- ADAS --- potential friction --- energy consumption and recovery --- transmission layouts --- fuel-cell electric vehicles --- adhesion enhancement --- dimple model --- patterned surfaces --- viscoelasticity --- enhancement --- articulated vehicles --- stability analysis --- nonlinear dynamic model --- snake instability --- eigenvalue analysis --- central control --- non-linear model-based predictive control --- pitch behavior --- predictive control --- roll behavior --- self-steering behavior --- vehicle dynamics --- viscoelastic modulus --- rubber --- friction --- empirical modeling --- autonomous emergency steering --- multi-input multi-output model predictive control --- actuator dynamics --- control allocation --- handling enhancement --- road friction --- wear --- tyre --- suspension --- semi-active --- handling --- comfort --- optimisation --- directional stability --- road profile --- road unevenness --- vehicle-road interaction --- vertical vehicle excitation --- tire models --- tire tread --- motorcycle --- rider --- screw axis --- weave --- wobble --- multibody --- gravel pavement --- roughness --- straightedge --- power spectral density --- international roughness index --- vehicle response --- driving comfort --- sky-hook --- in-wheel motor --- semi-active suspension --- quarter-car model --- suspension performance --- suspension test bench --- vehicle stability --- road models --- quarter car models --- limit cycles --- acceleration speed portraits --- speed oscillations --- velocity bifurcations --- noisy limit cycles --- limit flows of trajectories --- Sommerfeld effects --- differential-algebraic systems --- polar coordinates of roads --- covariance equations --- stability in mean --- supercritical speeds --- analytical travel speed amplitudes --- Floquet theory applied to limit cycles --- non-pneumatic tire --- finite element analysis --- steady state analysis --- tire characterization --- footprint --- contact patch --- longitudinal interaction --- n/a --- Pacejka's magic formula

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