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Handbook of Intelligent Vehicles

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Cover of 'Handbook of Intelligent Vehicles'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Intelligent Vehicles
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    Chapter 2 A Strategic Approach to Intelligent Functions in Vehicles
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    Chapter 3 Sensing and Actuation in Intelligent Vehicles
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    Chapter 4 Situational Awareness in Intelligent Vehicles
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    Chapter 5 Hierarchical, Intelligent and Automatic Controls
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    Chapter 6 Behavioral Adaptation and Acceptance
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    Chapter 7 Simulation Approaches to Intelligent Vehicles
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    Chapter 8 Vehicle Longitudinal Control
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    Chapter 9 Adaptive and Cooperative Cruise Control
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    Chapter 10 Vehicle Lateral and Steering Control
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    Chapter 11 Drive-By-Wire
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    Chapter 12 Energy and Powertrain Systems in Intelligent Automobiles
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    Chapter 13 Global Navigation Satellite Systems: An Enabler for In-Vehicle Navigation
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    Chapter 14 Enhancing Vehicle Positioning Data Through Map-Matching
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    Chapter 15 Situational Awareness and Road Prediction for Trajectory Control Applications
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    Chapter 16 Navigation and Tracking of Road-Bound Vehicles Using Map Support
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    Chapter 17 State-of-the-Art In-Car Navigation: An Overview
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    Chapter 18 Evolution of In-Car Navigation Systems
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    Chapter 19 Fundamentals of Driver Assistance
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    Chapter 20 Driver Behavior Modeling
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    Chapter 21 Using Naturalistic Driving Research to Design, Test and Evaluate Driver Assistance Systems
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    Chapter 22 Intelligent Speed Adaptation (ISA)
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    Chapter 23 Safety and Comfort Systems: Introduction and Overview
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    Chapter 24 Adaptive Cruise Control
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    Chapter 25 Forward Collision Warning and Avoidance
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    Chapter 26 Lane Departure and Lane Keeping
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    Chapter 27 Integral Safety
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    Chapter 28 Lane Change Assistance
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    Chapter 29 Steering and Evasion Assist
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    Chapter 30 Proactive Pedestrian Protection
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    Chapter 31 Parking Assist
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    Chapter 32 Post-crash Support Systems
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    Chapter 33 Map Data for ADAS
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    Chapter 34 Advances in Drowsy Driver Assistance Systems Through Data Fusion
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    Chapter 35 Drowsy Driver Posture, Facial, and Eye Monitoring Methods
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    Chapter 36 Drowsy and Fatigued Driving Problem Significance and Detection Based on Driver Control Functions
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    Chapter 37 Drowsy and Fatigued Driver Warning, Counter Measures, and Assistance
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    Chapter 38 Image Processing for Vehicular Applications
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    Chapter 39 Camera Technologies
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    Chapter 40 Perception Tasks: Lane Detection
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    Chapter 41 Perception Tasks: Obstacle Detection
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    Chapter 42 Perception Tasks: Traffic Sign Recognition
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    Chapter 43 Vision-Based ACC
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    Chapter 44 Vision-Based Blind Spot Monitoring
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    Chapter 45 Vehicular Communications Requirements and Challenges
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    Chapter 46 Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Communications and Cooperative Driving
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    Chapter 47 Probes and Intelligent Vehicles
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    Chapter 48 Threat Model, Authentication, and Key Management
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    Chapter 49 Security, Privacy, Identifications
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    Chapter 50 Autonomous Driving: Context and State-of-the-Art
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    Chapter 51 Modeling and Learning Behaviors
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    Chapter 52 Vision and IMU Data Fusion: Closed-Form Determination of the Absolute Scale, Speed, and Attitude
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    Chapter 53 Vision-Based Topological Navigation: An Implicit Solution to Loop Closure
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    Chapter 54 Awareness of Road Scene Participants for Autonomous Driving
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    Chapter 55 Iterative Motion Planning and Safety Issue
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    Chapter 56 Risk Based Navigation Decisions
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    Chapter 57 Probabilistic Vehicle Motion Modeling and Risk Estimation
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    Chapter 58 Legal Issues of Driver Assistance Systems and Autonomous Driving
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    Chapter 59 Intelligent Vehicle Potential and Benefits
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    Chapter 60 Applications and Market Outlook
Overall attention for this book and its chapters
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Mentioned by

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3 tweeters
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1 patent
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2 Facebook pages

Citations

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88 Dimensions

Readers on

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406 Mendeley
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Title
Handbook of Intelligent Vehicles
Published by
Springer-Verlag London, January 2012
DOI 10.1007/978-0-85729-085-4
ISBNs
978-0-85729-086-1, 978-0-85729-085-4, 978-0-85729-084-7
Editors

Azim Eskandarian

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 406 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
China 3 <1%
Germany 2 <1%
Netherlands 2 <1%
France 2 <1%
Ireland 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Other 3 <1%
Unknown 386 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 100 25%
Student > Ph. D. Student 98 24%
Student > Bachelor 46 11%
Researcher 44 11%
Student > Doctoral Student 31 8%
Other 54 13%
Unknown 33 8%
Readers by discipline Count As %
Engineering 213 52%
Computer Science 95 23%
Business, Management and Accounting 10 2%
Psychology 8 2%
Design 7 2%
Other 27 7%
Unknown 46 11%