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Fahrerassistenzsysteme 2018

Overview of attention for book
Cover of 'Fahrerassistenzsysteme 2018'

Table of Contents

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    Book Overview
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    Chapter 1 Radar for Autonomous Driving – Paradigm Shift from Mere Detection to Semantic Environment Understanding
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    Chapter 2 Improving the Environment Model for Highly Automated Driving by Extending the Sensor Range
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    Chapter 3 Efficient Sensor Development Using Raw Signal Interfaces
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    Chapter 4 360° Surround View Radar for Driver Assistance and Automated Driving
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    Chapter 5 Overall Approach to Standardize AD Sensor Interfaces: Simulation and Real Vehicle
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    Chapter 6 Virtualization for Verifying Functional Safety of Highly Automated Driving Using the Example of a Real ECU Project
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    Chapter 7 Derivation and Application of an Observer Structure to Detect Inconsistencies Within a Static Environmental Model
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    Chapter 8 Security in Hybrid Vehicular Communication Based on ITS G5, LTE-V, and Mobile Edge Computing
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    Chapter 9 Automated Driving – Misunderstandings About Level 3 and Euro NCAP’s Activities in this Field
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    Chapter 10 Putting People Center Stage – To Drive and to be Driven
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    Chapter 11 Towards Positive User Experience (UX) for Automated Driving
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    Chapter 12 Systematically Generated and Complete Tests for Complex Driving Scenarios
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    Chapter 13 Connected Development in Driver Assistance – Paving the Way to Automated Driving Through Remote Validation and Big Data Analysis
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    Chapter 14 Truck Platooning – A Pragmatical Approach
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    Chapter 15 aFAS – How to Get a Driverless Prototype on the Road?
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    Chapter 16 CAN over Automotive Ethernet for Trailer Interface
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    Chapter 17 An Overview of Deep Learning and Its Applications
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    Chapter 18 Potential of Virtual Test Environments for the Development of Highly Automated Driving Functions Using Neural Networks
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    Chapter 19 Incorporating Human Driving Data into Simulations and Trajectory Predictions
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    Chapter 20 Deep Learning-Based Multi-scale Multi-object Detection and Classification for Autonomous Driving
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    Chapter 21 Tagungsbericht
Overall attention for this book and its chapters
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Mentioned by

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1 X user
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1 patent

Citations

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3 Dimensions

Readers on

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10 Mendeley
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Title
Fahrerassistenzsysteme 2018
Published by
Springer Fachmedien Wiesbaden, March 2019
DOI 10.1007/978-3-658-23751-6
ISBNs
978-3-65-823750-9, 978-3-65-823751-6
Editors

Bertram, Torsten

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Bachelor 1 10%
Student > Ph. D. Student 1 10%
Unknown 6 60%
Readers by discipline Count As %
Computer Science 2 20%
Business, Management and Accounting 1 10%
Engineering 1 10%
Unknown 6 60%

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