Smart Mobile In-Vehicle Systems, 1st Edition

  • Published By:
  • ISBN-10: 1461491207
  • ISBN-13: 9781461491200
  • DDC: 629.272
  • Grade Level Range: College Freshman - College Senior
  • 292 Pages | eBook
  • Original Copyright 2014 | Published/Released June 2014
  • This publication's content originally published in print form: 2014

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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 DSP technologies in adaptive automobiles, algorithms and evaluation of in-car communication systems, driver-status monitoring and stress detection, in-vehicle dialogue systems and human-machine interfaces, challenges in video and audio processing for in-vehicle products, multi-sensor fusion for driver identification and vehicle to infrastructure wireless technologies.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Sensor and Data Fusion.
2: Computational Aspects of Maximum Likelihood DOA Estimation of Two Targets with Applications to Automotive Radar.
3: Dense 3D Motion Field Estimation from a Moving Observer in Real Time.
4: Intelligence in the Automobile of the Future.
5: Unmanned Ground Vehicle Otonobil: Design, Perception, and Decision Algorithms.
6: Speech and Audio Processing.
7: Car Hands-Free Testing and Optimization: An Overview.
8: A Wideband Automotive Hands-Free System for Mobile HD Voice Services.
9: In-Car Communication.
10: Room in a Room: A Neglected Concept for Auralization.
11: Refinement and Temporal Interpolation of Short-Term Spectra: Theory and Applications.
12: Driver Distraction.
13: Effects of Multitasking on Drivability Through CAN-Bus Analysis.
14: Using Perceptual Evaluation to Quantify Cognitive and Visual Driver Distractions.
15: Driving Behavior and User Profiling.
16: Evaluation Method for Safe Driving Skill Based on Driving Behavior Analysis and Situational Information at Intersections.
17: Pre- and Postaccident Emotion Analysis on Driving Behavior.
18: Driving Scene Analysis.
19: Content-Based Driving Scene Retrieval Using Driving Behavior and Environmental Driving Signals.
20: Driving Event Detection by Low-Complexity Analysis of Video-Encoding Features.
21: Target Shape Estimation Using an Automotive Radar.