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Human Factors in Intelligent Vehicles.

Human Factors in Intelligent Vehiclesaddresses issues related to theanalysis of human factors in the design and evaluation of intelligent vehiclesfor a wide spectrum of applications and over different dimensions. Thecontributors cover autonomous vehicles as well as the frameworks for analyzingautoma...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Olaverri-Monreal, Cristina, 1970-, García-Fernández, Fernando, Rossetti, Rosaldo J. F.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Aalborg : River Publishers, 2020.
Colección:River Publishers series in transport technology.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Human Factors in Intelligent Vehicles
  • Contents
  • Preface
  • List of Contributors
  • List of Figures
  • List of Tables
  • List of Abbreviations
  • 01 Continuous Game Theory Pedestrian Modelling Method for Autonomous Vehicles
  • 1.1 Introduction
  • 1.2 Related Work
  • 1.2.1 Pedestrian Crossing Behaviour
  • 1.2.2 Game Theory
  • 1.2.3 Pedestrian Tracking
  • 1.3 Methods
  • 1.3.1 Human Experiment
  • 1.3.2 Pedestrian Detection and Tracking
  • 1.3.3 Sequential Chicken Model
  • 1.3.4 Gaussian Process Parameter Posterior Analysis
  • 1.4 Results
  • 1.5 Discussion
  • Acknowlegdment
  • 2.3.4.2 Fixations and DBQ (Part 1 only)
  • 2.3.4.3 Fixations and DALI (Part 2 only)
  • 2.3.5 Between trust, DBQ and DALI
  • 2.3.5.1 Trust and DBQ (Part 1 only)
  • 2.3.5.2 Trust and DALI (Part 2 only)
  • 2.4 Discussion
  • 2.4.1 Fixations
  • 2.4.1.1 Fixations and Trust (Parts 1 and 2)
  • 2.4.1.2 Fixations and DBQ (Part 1 only)
  • 2.4.2 Fixations and DALI (Part 2 only)
  • 2.4.3 Between Trust, DBQ and DALI
  • 2.4.3.1 Trust and DBQ (Part 1 only)
  • 2.4.3.2 Trust and DALI (Part 2 only)
  • 2.5 Conclusion
  • References
  • 03 A CNN Approach for Bidirectional Brainwave Controller for Intelligent Vehicles
  • 3.1 Introduction
  • 3.1.1 Human Brain
  • 3.1.2 Brainwaves Features
  • 3.1.3 BCI Research
  • 3.2 Setup Overview
  • 3.2.1 Brainwave Sensor
  • 3.2.2 Vehicle Platform
  • 3.3 Methodology
  • 3.3.1 Data Reading
  • 3.3.2 Data Filtering
  • 3.3.3 Input Processing
  • 3.3.4 NN Classifier
  • 3.3.5 CNN Classifier
  • 3.3.5.1 MindNet_1
  • 3.3.5.2 MindNet_2
  • 3.4 Experimental Works and Results
  • 3.4.1 General Classifier
  • 3.4.2 Individual Classifier
  • 3.4.3 Computational Time
  • 3.5 Conclusion and Future Work
  • References
  • 04 A-RCRAFT Framework for Analysing Automation: Application to SAE J3016 Levels of Driving Automation
  • 4.1 Introduction
  • 4.2 A Framework for Automation Analysis: A-RCRAFT
  • 4.2.1 Allocation of Functions and Tasks
  • 4.2.2 Allocation of Resources
  • 4.2.3 Allocation of Control Transitions
  • 4.2.4 Allocation of Responsibility
  • 4.2.5 Allocation of Authority
  • 4.3 Qualitative Analysis of SAE J3016 Levels of Driving Automation with A-RCRAFT
  • 4.3.1 Scope of the SAE J3016 for the Human Tasks and System Functions
  • 4.3.2 Decomposition of Levels of Driving Automation Accordingto A-RCRAFT