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Advanced Microsystems for Automotive Applications 2017

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Cover of 'Advanced Microsystems for Automotive Applications 2017'

Table of Contents

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    Book Overview
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    Chapter 1 Smart Sensor Technology as the Foundation of the IoT: Optical Microsystems Enable Interactive Laser Projection
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    Chapter 2 Unit for Investigation of the Working Environment for Electronics in Harsh Environments, ESU
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    Chapter 3 Automotive Synthetic Aperture Radar System Based on 24 GHz Series Sensors
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    Chapter 4 SPAD-Based Flash Lidar with High Background Light Suppression
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    Chapter 5 Enabling Robust Localization for Automated Guided Carts in Dynamic Environments
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    Chapter 6 Recognition of Lane Change Intentions Fusing Features of Driving Situation, Driver Behavior, and Vehicle Movement by Means of Neural Networks
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    Chapter 7 Applications of Road Edge Information for Advanced Driver Assistance Systems and Autonomous Driving
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    Chapter 8 Robust and Numerically Efficient Estimation of Vehicle Mass and Road Grade
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    Chapter 9 Fast and Accurate Vanishing Point Estimation on Structured Roads
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    Chapter 10 Energy-Efficient Driving in Dynamic Environment: Globally Optimal MPC-like Motion Planning Framework
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    Chapter 11 Automated Data Generation for Training of Neural Networks by Recombining Previously Labeled Images
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    Chapter 12 Secure Wireless Automotive Software Updates Using Blockchains: A Proof of Concept
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    Chapter 13 DEIS: Dependability Engineering Innovation for Industrial CPS
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    Chapter 14 Smart Features Integrated for Prognostics Health Management Assure the Functional Safety of the Electronics Systems at the High Level Required in Fully Automated Vehicles
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    Chapter 15 Challenges for the Validation and Testing of Automated Driving Functions
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    Chapter 16 Automated Assessment and Evaluation of Digital Test Drives
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    Chapter 17 HiFi Visual Target—Methods for Measuring Optical and Geometrical Characteristics of Soft Car Targets for ADAS and AD
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    Chapter 18 Assessing the Impact of Connected and Automated Vehicles. A Freeway Scenario
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    Chapter 19 Germany’s New Road Traffic Law—Legal Risks and Ramifications for the Design of Human-Machine Interaction in Automated Vehicles
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    Chapter 20 Losing a Private Sphere? A Glance on the User Perspective on Privacy in Connected Cars
Attention for Chapter 11: Automated Data Generation for Training of Neural Networks by Recombining Previously Labeled Images
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Chapter title
Automated Data Generation for Training of Neural Networks by Recombining Previously Labeled Images
Chapter number 11
Book title
Advanced Microsystems for Automotive Applications 2017
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-66972-4_11
Book ISBNs
978-3-31-966971-7, 978-3-31-966972-4
Authors

Peter-Nicholas Gronerth, Benjamin Hahn, Lutz Eckstein

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Engineering 1 100%