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Smart Mobile In-Vehicle Systems

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Cover of 'Smart Mobile In-Vehicle Systems'

Table of Contents

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

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2 patents

Citations

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5 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Smart Mobile In-Vehicle Systems
Published by
Springer New York, November 2013
DOI 10.1007/978-1-4614-9120-0
ISBNs
978-1-4614-9119-4, 978-1-4614-9120-0
Editors

Schmidt, Gerhard, Abut, Huseyin, Takeda, Kazuya, Hansen, John H.L.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Master 3 18%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 1 6%
Other 3 18%
Unknown 5 29%
Readers by discipline Count As %
Engineering 7 41%
Computer Science 3 18%
Unknown 7 41%