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Fahrerassistenzsysteme 2017

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Cover of 'Fahrerassistenzsysteme 2017'

Table of Contents

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    Book Overview
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    Chapter 1 Automated driving functions for traffic flow models to assess the traffic situation
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    Chapter 2 Assistance-on-demand – development of a speech-based, personalized left-turning assistant
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    Chapter 3 Evolution or revolution of the user experience through networked vehicles
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    Chapter 4 From research to mass production – using a versatile platform for developing new HAD software functions
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    Chapter 5 Integrated Cockpit Computer
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    Chapter 6 Automotive 3D reconstruction based on multi-pixel LED headlight systems
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    Chapter 7 Legal Framework For Automated Driving Functions „Burden Or Vantage“?
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    Chapter 8 Evaluation of ADAS at low speed scenarios
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    Chapter 9 Current research results on the effectiveness of driver assistance systems with increasing degree of automation
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    Chapter 10 Connected car – driver assistance sensors get connected
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    Chapter 11 Use cases for automated driving commercial vehicles
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    Chapter 12 DRIVER ASSISTANCE IN THE NEW BMW 5 SERIES –EXPERIENCE AUTOMATION.
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    Chapter 13 Scenario-based approach for developing ADAS and automated driving functions
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    Chapter 14 A real-time capable multi-sensor model to validate ADAS in a virtual environment
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    Chapter 15 Virtual Validation of Automated Driving Functions Using a Construction Site Assistant as an Example
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    Chapter 16 Evasive Maneuver Assist (EMA) – enhanced vehicle safety using a combination of braking and steering
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    Chapter 17 Sensor-based learning – one step closer to autonomous driving
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    Chapter 18 Vehicle speed trajectory optimization under limits in time and spatial domains
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    Chapter 19 Trusted execution environments in vehicles for secure driver assistance systems
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    Chapter 20 The impact of 5G on future driver assistance and autonomous driving systems
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    Chapter 21 Big data re-simulations for autonomous driving using DaSense
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    Chapter 22 Incorporating high fidelity physics into ADAS and autonomous vehicles simulation
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    Chapter 23 Development and test of a lane change prediction algorithm for automated driving
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    Chapter 24 In-vehicle validation of safety-critical sensor fusion ECUs with microprocessor technology
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    Chapter 25 Tagungsbericht
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Title
Fahrerassistenzsysteme 2017
Published by
Springer-Verlag, October 2017
DOI 10.1007/978-3-658-19059-0
ISBNs
978-3-65-819059-0, 978-3-65-819058-3
Editors

Isermann, Rolf

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Unknown 10 56%
Readers by discipline Count As %
Engineering 6 33%
Computer Science 2 11%
Unknown 10 56%