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Advanced Microsystems for Automotive Applications 2016

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Cover of 'Advanced Microsystems for Automotive Applications 2016'

Table of Contents

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    Book Overview
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    Chapter 1 Requirements and Evaluation of a Smartphone Based Dead Reckoning Pedestrian Localization for Vehicle Safety Applications
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    Chapter 2 Probabilistic Integration of GNSS for Safety-Critical Driving Functions and Automated Driving—the NAVENTIK Project
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    Chapter 3 Is IEEE 802.11p V2X Obsolete Before it is Even Deployed?
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    Chapter 4 Prototyping Framework for Cooperative Interaction of Automated Vehicles and Vulnerable Road Users
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    Chapter 5 Communication Beyond Vehicles—Road to Automated Driving
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    Chapter 6 What About the Infrastructure?
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    Chapter 7 Towards Dynamic and Flexible Sensor Fusion for Automotive Applications
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    Chapter 8 Robust Facial Landmark Localization for Automotive Applications
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    Chapter 9 Using eHorizon to Enhance Camera-Based Environmental Perception for Advanced Driver Assistance Systems and Automated Driving
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    Chapter 10 Performance Enhancements for the Detection of Rectangular Traffic Signs
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    Chapter 11 CNN Based Subject-Independent Driver Emotion Recognition System Involving Physiological Signals for ADAS
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    Chapter 12 Highly Automated Driving—Disruptive Elements and Consequences
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    Chapter 13 Scenario Identification for Validation of Automated Driving Functions
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    Chapter 14 Towards Characterization of Driving Situations via Episode-Generating Polynomials
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    Chapter 15 Functional Safety: On-Board Computing of Accident Risk
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    Chapter 16 Optimal Predictive Control for Intelligent Usage of Hybrid Vehicles
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    Chapter 17 Light Electric Vehicle Enabled by Smart Systems Integration
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    Chapter 18 Next Generation Drivetrain Concept Featuring Self-learning Capabilities Enabled by Extended Information Technology Functionalities
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    Chapter 19 Embedding Electrochemical Impedance Spectroscopy in Smart Battery Management Systems Using Multicore Technology
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    Chapter 20 Procedure for Optimization of a Modular Set of Batteries in a High Autonomy Electric Vehicle Regarding Control, Maintenance and Performance
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    Chapter 21 Time to Market—Enabling the Specific Efficiency and Cooperation in Product Development by the Institutional Role Model
Attention for Chapter 8: Robust Facial Landmark Localization for Automotive Applications
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Citations

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Chapter title
Robust Facial Landmark Localization for Automotive Applications
Chapter number 8
Book title
Advanced Microsystems for Automotive Applications 2016
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-44766-7_8
Book ISBNs
978-3-31-944765-0, 978-3-31-944766-7
Authors

Manuel Schäfer, Emin Tarayan, Ulrich Kreßel

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Engineering 3 60%
Unknown 2 40%