Smart Mobile In-Vehicle Systems Next Generation Advancements /

This is an edited collection by world-class experts, from diverse fields, focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. The book presents developments on road safety, in-vehicle technologies and state-of-the art systems. Includes coverage of DS...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Schmidt, Gerhard (Editor ), Abut, Huseyin (Editor ), Takeda, Kazuya (Editor ), Hansen, John H.L (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Signal processing.
Control engineering.
Automotive engineering.
User interfaces (Computer systems).
Human-computer interaction.
Telecommunication.
Signal, Speech and Image Processing .
Control and Systems Theory.
Automotive Engineering.
User Interfaces and Human Computer Interaction.
Communications Engineering, Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I: Sensor and Data Fusion.- Computational Aspects of Maximum Likelihood DOA Estimation of Two Targets with Applications to Automotive Radar
  • Dense 3D Motion Field Estimation from a Moving Observer in Real-Time
  • Intelligence in the Automobile of the Future
  • Unmanned Ground Vehicle Otonobil: Design, Perception, and Decision Algorithms
  • Part II: Speech and Audio Processing
  • Car Hands-Free Testing and Optimization - An Overview
  • A Wideband Automotive Hands-free System for Mobile HD Voice Services
  • In-Car Communication
  • Room in a Room: A Neglected Concept for Auralization
  • Refinement and Temporal Interpolation of Short-Term Spectra - Theory and Applications
  • Part III: Driver Distraction.- Effects of Multi-Tasking on Drivability through CAN-Bus Analysis
  • Using Perceptual Evaluation to Quantify Cognitive and Visual Driver Distractions.- Part IV: Driving Behavior and User Profiling.- Evaluation Method for Safe Driving Skill Based on Driving Behavior Analysis and Situational Information at Intersections
  • Pre- and Post-Accident Emotion Analysis on Driving Behaviour
  • Part V: Driving Scene Analysis
  • Content-Based Driving Scene Retrieval Using Driving Behavior and Environmental Driving Signals
  • Driving Event Detection by Low-Complexity Analysis of Video Encoding Features
  • Target Shape Estimation Using an Automotive Radar.

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