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Dr. Raphael Pfeffer
Dr. Raphael Pfeffer
Verified email at kit.edu
Title
Cited by
Cited by
Year
Automatic generation of critical test cases for the development of highly automated driving functions
D Baumann, R Pfeffer, E Sax
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-5, 2021
272021
Automated driving-challenges for the automotive industry in product development with focus on process models and organizational structure
R Pfeffer, GN Basedow, NR Thiesen, M Spadinger, A Albers, E Sax
2019 IEEE International Systems Conference (SysCon), 1-6, 2019
172019
Continuous development of highly automated driving functions with vehicle-in-the-loop using the example of Euro NCAP scenarios
R Pfeffer, T Leichsenring
Simulation and Testing for Vehicle Technology: 7th Conference, Berlin, May …, 2016
152016
Szenariobasierte simulationsgestützte funktionale Absicherung hochautomatisierter Fahrfunktionen durch Nutzung von Realdaten
R Pfeffer
KIT-Fakultät für Elektrotechnik und Informationstechnik des Karlsruher …, 2020
132020
Video injection methods in a real-world vehicle for increasing test efficiency
R Pfeffer, M Haselhoff
ATZ worldwide 118 (7), 44-49, 2016
122016
Trade-off analysis using synthetic training data for neural networks in the automotive development process
R Pfeffer, K Bredow, E Sax
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4115-4120, 2019
62019
Development and Implementation of a Concept for the Meta Description of Highway Driving Scenarios with Focus on Interactions of Road Users.
R Pfeffer, J He, E Sax
VEHITS, 440-447, 2020
42020
Realdatenbasierte simulationsgestützte absicherung hochautomatisierter fahrfunktionen
R Pfeffer, E Sax, S Schmidt
ATZelektronik 14 (11), 24-29, 2019
32019
Real data based validation of highly automated driving functions using simulation methods
R Pfeffer, E Sax, S Schmidt
ATZelectronics worldwide 14 (11), 24-29, 2019
32019
Potential of virtual test environments for the development of highly automated driving functions using neural networks
R Pfeffer, P Ukas, E Sax
4. Internationale ATZ-Tagung Fahrerassistenzsysteme, 2018
32018
Anwendung von clusteringverfahren für die extraktion und reduktion von testfällen aus aufgezeichneten fahrszenarien
R Pfeffer, F Pistorius, E Sax
Commercial Vehicle Technology 2020/2021: Proceedings of the 6th Commercial …, 2021
22021
Vehicle-in-the-Loop as a method to tangibly experience active safety systems at an early stage
RJ Pfeffer, T Leichsenring, S Schwab
FAST-zero'15: 3rd International Symposium on Future Active Safety Technology …, 2015
22015
Intelligent and Continuous Test Generation for Highly Automated Driving
R Pfeffer, M Hefenbrock
ATZelectronics worldwide 17 (9), 8-13, 2022
12022
Durchgängige Entwicklungsmethoden ermöglichen effizientere Testabdeckung
R Pfeffer
ATZextra 27 (1), 12-17, 2022
12022
Artificial intelligence in the development of autonomous driving functions
N Ahn, R Pfeffer
ATZ worldwide 121 (12), 42-45, 2019
12019
Training and validation of neural networks in virtual environments
R Pfeffer
Automatisiertes Fahren 2019: Von der Fahrerassistenz zum autonomen Fahren 5 …, 2019
12019
Einspeisen von Videodaten in ein reales Fahrzeug für effizientere Testverfahren
R Pfeffer, M Haselhoff
ATZ-Automobiltechnische Zeitschrift 118 (7), 48-53, 2016
12016
Seamless Tool Chain for Testing Camera-based Advanced Driver Assistance Systems
R Pfeffer, S Schmidt
ATZelektronik worldwide 10 (6), 48-53, 2015
12015
Durchgängige Werkzeugkette zum Testen kamerabasierter Fahrerassistenzsysteme
R Pfeffer, S Schmidt
ATZelektronik 10 (6), 74-79, 2015
12015
Effiziente Fehlerratenbestimmung durch KI-basierte Simulation kritischer Szenarien
R Pfeffer, M Herrmann, H Kemper
ATZelektronik 18 (11), 16-21, 2023
2023
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