Towards human-vehicle harmonization /
"This book features works from world-class experts from academia, industry, and national agencies focusing on a wide spectrum of automotive fields towards human-vehicle harmonization covering in-vehicle signal processing, driver modeling, systems and safety. The essays collected in this volume...
Clasificación: | Libro Electrónico |
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Otros Autores: | , , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin ; Boston :
De Gruyter,
[2023]
|
Colección: | Intelligent vehicles and transportation ;
v. 3. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Frontmatter
- In Memory of Pınar Boyraz-Baykaş (1981-2020)
- Contents
- Contributing authors
- Preface
- 1 Agile Data Analysis
- 2 Driver Attention Modeling Through Evidence Accumulation and Gaze Fixation
- 3 Driver Distraction Processive Recognition by Fusing Causal Reasoning with Deep Learning
- 4 Robotic Human-Machine Interface Towards Driving Behavior Improvement for Elderly Drivers
- 5 Risk Analysis for Vehicle-Pedestrian Interaction with Extended Sensing
- 6 Exploration of Effective Car-to-Pedestrian Interaction for Autonomous Vehicles
- 7 Enhancing Driver Visual Guidance Through Mobility Digital Twin
- 8 Enhancing Mobile-UTDrive Capacity for Onboard Driver Assessment
- 9 In-Vehicle Infotainment and UX Improvement
- 10 A Multichannel Spatial Hands-Free Application for In-Car Communication Systems
- 11 Spatial Telephony: Spatial Fidelity and Quality of Experience
- 12 A Recording Setup for Clean Lombard Speech Based on Acoustic Ambiance Simulation and Noise Suppression
- 13 Voice Activity Detection for In-Car Communication Systems
- 14 Generalized Theory of Spectral Refinement and Application to Speech Enhancement for In-Car Communication Systems
- 15 Driver Behavior-Aware Cooperative Ramp Merging for Intelligent Vehicles
- 16 Personalized Lane Changes Using Subjective Risk-Sensitive Framework
- 17 Human-Interpretable Learning-Based Automated Driving Systems
- 18 On the Importance of Quantifying Visibility for Autonomous Vehicles Under Extreme Precipitation
- About the editors
- Index