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Isermann, Rolf

Fahrerassistenzsysteme 2017

Isermann, Rolf - Fahrerassistenzsysteme 2017, e-bok

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ISBN: 9783658190590
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Table of contents

1. Automated driving functions for traffic flow models to assess the traffic situation
Andreas Kerschbaumer, Martin Rudigier, Michael Haberl, Bernhard Hintermayer

2. Assistance-on-demand – development of a speech-based, personalized left-turning assistant
Martin Heckmann, Heiko Wersing, Dennis Orth, Dorothea Kolossa

3. Evolution or revolution of the user experience through networked vehicles
Heiko Herchet, Johannes Barckmann

4. From research to mass production – using a versatile platform for developing new HAD software functions
Sebastian Ohl

5. Integrated Cockpit Computer
David Rabe, Matthias Rudolf

6. Automotive 3D reconstruction based on multi-pixel LED headlight systems
Christian Schneider, Maximilian Meyer, Tim Kunz

7. Legal Framework For Automated Driving Functions „Burden Or Vantage“?
Carsten Winkelbach, Folkert Jürgens, Heiko Ehrich

8. Evaluation of ADAS at low speed scenarios
Gerald-Alexander Beese, Helge Kiebach

9. Current research results on the effectiveness of driver assistance systems with increasing degree of automation
Marcel Borrack, Johann Gwehenberger, Julian Schatz, Philip Feig

10. Connected car – driver assistance sensors get connected
Stephan Stass, Hans-Jörg Mathony, Cristian Gavanescu, Christian Passmann, Dieter Hötzer

11. Use cases for automated driving commercial vehicles
Alexander-Cosmin Teleki, Maria Fritz, Matthias Kreimeyer

12. DRIVER ASSISTANCE IN THE NEW BMW 5 SERIES –EXPERIENCE AUTOMATION.
Claus Dorrer, Reiner Friedrich, Philipp Reinisch

13. Scenario-based approach for developing ADAS and automated driving functions
Andreas Höfer, Martin Herrmann

14. A real-time capable multi-sensor model to validate ADAS in a virtual environment
Marius Feilhauer, Jürgen Häring

15. Virtual Validation of Automated Driving Functions Using a Construction Site Assistant as an Example
André Rolfsmeier, Hagen Haupt, Karsten Krügel

16. Evasive Maneuver Assist (EMA) – enhanced vehicle safety using a combination of braking and steering
Stephan Kallenbach, Ralph-Carsten Lülfing, Klaus Plähn

17. Sensor-based learning – one step closer to autonomous driving
Nicole Beringer

18. Vehicle speed trajectory optimization under limits in time and spatial domains
Ziqi Ye, Thorsten Plum, Stefan Pischinger, Jakob Andert, Michael Stapelbroek, Jan Pfluger

19. Trusted execution environments in vehicles for secure driver assistance systems
Jens Köhler, Henry Förster

20. The impact of 5G on future driver assistance and autonomous driving systems
Sebastian Rettlinger, S. Butenweg, F. Fitzek

21. Big data re-simulations for autonomous driving using DaSense
Tobias Abthoff, Nicoletta John, Katharina Kreplin, Jonas Lorenz, Andreas Pawlik, Tilmann Piffl, Jose Villaveces, Adrian Villwock

22. Incorporating high fidelity physics into ADAS and autonomous vehicles simulation
Sandeep Sovani, Lee Johnson, Jacques Duysens

23. Development and test of a lane change prediction algorithm for automated driving
Christian Wissing, Karl-Heinz Glander, Carsten Haß, Till Nattermann, Torsten Bertram

24. In-vehicle validation of safety-critical sensor fusion ECUs with microprocessor technology
Heinz Tilsner, Burkhard Triess

25. Tagungsbericht
Markus Schöttle

Nyckelord: Engineering, Automotive Engineering, Engine Technology

Utgivare
Utgivare
Springer
Utgivningsår
2017
Språk
de
Utgåva
1
Serie
Proceedings
Kategori
Teknologi, energi, trafik
Format
E-bok
eISBN (PDF)
9783658190590
Tryckt ISBN
978-3-658-19058-3

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