Fahrerassistenzsysteme 2017: Von der Assistenz zum automatisierten Fahren - 3. Internationale ATZ-Fachtagung Automatisiertes Fahren

Front Matter ....Pages i-xiii
 Automated driving functions for traffic flow models to assess the traffic situation  (Andreas Kerschbaumer, Martin Rudigier, Michael Haberl, Bernhard Hintermayer)....Pages 1-15
 Assistance-on-demand – development of a speech-based, personalized left-turning assistant  (Martin Heckmann, Heiko Wersing, Dennis Orth, Dorothea Kolossa)....Pages 17-26
 Evolution or revolution of the user experience through networked vehicles  (Heiko Herchet, Johannes Barckmann)....Pages 27-46
 From research to mass production – using a versatile platform for developing new HAD software functions  (Sebastian Ohl)....Pages 47-72
 Integrated Cockpit Computer  (David Rabe, Matthias Rudolf)....Pages 73-83
 Automotive 3D reconstruction based on multi-pixel LED headlight systems  (Christian Schneider, Maximilian Meyer, Tim Kunz)....Pages 85-112
 Legal Framework For Automated Driving Functions „Burden Or Vantage“?  (Carsten Winkelbach, Folkert Jürgens, Heiko Ehrich)....Pages 113-139
 Evaluation of ADAS at low speed scenarios  (Gerald-Alexander Beese, Helge Kiebach)....Pages 141-153
 Current research results on the effectiveness of driver assistance systems with increasing degree of automation  (Marcel Borrack, Johann Gwehenberger, Julian Schatz, Philip Feig)....Pages 155-172
 Connected car – driver assistance sensors get connected  (Stephan Stass, Hans-Jörg Mathony, Cristian Gavanescu, Christian Passmann, Dieter Hötzer)....Pages 173-185
 Use cases for automated driving commercial vehicles  (Alexander-Cosmin Teleki, Maria Fritz, Matthias Kreimeyer)....Pages 187-200
 DRIVER ASSISTANCE IN THE NEW BMW 5 SERIES –EXPERIENCE AUTOMATION.  (Claus Dorrer, Reiner Friedrich, Philipp Reinisch)....Pages 201-213
 Scenario-based approach for developing ADAS and automated driving functions  (Andreas Höfer, Martin Herrmann)....Pages 215-225
 A real-time capable multi-sensor model to validate ADAS in a virtual environment  (Marius Feilhauer, Jürgen Häring)....Pages 227-256
 Virtual Validation of Automated Driving Functions Using a Construction Site Assistant as an Example  (André Rolfsmeier, Hagen Haupt, Karsten Krügel)....Pages 257-286
 Evasive Maneuver Assist (EMA) – enhanced vehicle safety using a combination of braking and steering  (Stephan Kallenbach, Ralph-Carsten Lülfing, Klaus Plähn)....Pages 287-301
 Sensor-based learning – one step closer to autonomous driving  (Nicole Beringer)....Pages 303-317
 Vehicle speed trajectory optimization under limits in time and spatial domains  (Ziqi Ye, Thorsten Plum, Stefan Pischinger, Jakob Andert, Michael Stapelbroek, Jan Pfluger)....Pages 319-331
 Trusted execution environments in vehicles for secure driver assistance systems  (Jens Köhler, Henry Förster)....Pages 333-342
 The impact of 5G on future driver assistance and autonomous driving systems  (Sebastian Rettlinger, S. Butenweg, F. Fitzek)....Pages 343-357
 Big data re-simulations for autonomous driving using DaSense  (Tobias Abthoff, Nicoletta John, Katharina Kreplin, Jonas Lorenz, Andreas Pawlik, Tilmann Piffl et al.)....Pages 359-372
 Incorporating high fidelity physics into ADAS and autonomous vehicles simulation  (Sandeep Sovani, Lee Johnson, Jacques Duysens)....Pages 373-384
 Development and test of a lane change prediction algorithm for automated driving  (Christian Wissing, Karl-Heinz Glander, Carsten Haß, Till Nattermann, Torsten Bertram)....Pages 385-402
 In-vehicle validation of safety-critical sensor fusion ECUs with microprocessor technology  (Heinz Tilsner, Burkhard Triess)....Pages 403-413
 Tagungsbericht  (Markus Schöttle)....Pages 415-420