Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Marc Rene Zofka"'
Autor:
Tobias Fleck, Lennart Jauernig, Rupert Polley, Philip Schorner, Marc Rene Zofka, J. Marius Zollner
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Autor:
Ivo Haring, Florian Luttner, Andreas Frorath, Miriam Fehling-Kaschek, Katharina Ross, Thomas Schamm, Steffen Knoop, Daniel Schmidt, Andreas Schmidt, Yang Ji, Zhengxiong Yang, Armin Rupalla, Frank Hantschel, Michael Frey, Norbert Wiechowski, Christian Schyr, Daniel Grimm, Marc Rene Zofka, Alexander Viehl
Publikováno v:
2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP).
Publikováno v:
ITSC
In this work, we present the concept of an automated valet parking system that considers vehicles of different levels of automation by incorporating a parking management system. We discuss different types of distributions of the necessary functions f
Autor:
Andre Richter, Christoph Schweikert, Rene Bonk, Shi Li, Stefan Orf, Finn Sartoris, Christian Raack, Patrick Matalla, Thomas Pfeiffer, Marc Rene Zofka, Daniel Bogdoll, Sebastian Randel, Tobias Käfer, Christoph Füllner
Publikováno v:
ISC2
Smart cities will be characterized by a variety of intelligent and networked services, each with specific requirements for the underlying network infrastructure. While smart city architectures and services have been studied extensively, little attent
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
High quality reference data is crucial for the development of autonomous driving applications. Unfortunately, datasets including fixed, reproducible static environments that contain manifold interactions between traffic participants are not widely av
Publikováno v:
ITSC
The validation and verification (V&V) of highly automated driving depends on reference data in the different steps of the development process. While there exist a variety of datasets to optimize and benchmark perception algorithms, large trajectory d
Publikováno v:
MFI
During the past years autonomous driving evolved from only being a major topic in scientific research, all the way to practical and commercial applications like on-demand public transportation. Together with this evolution new use cases arose, making
Autor:
Patrick Schulz, J. Marius Zollner, Maximilian Zipfl, Marc Rene Zofka, Lars Töttel, Tobias Fleck, Marc Heinrich
Publikováno v:
MFI
Validation and verification of autonomous vehicles is still an unsolved problem. Although virtual approaches promise a cost efficient and reproducible solution, a most comprehensive and realistic representation of the real world traffic domain is req
Autor:
Omer Sahin Tas, Sascha Wirges, Claudio Bandera, Christoph Stiller, Tobias Strauss, Niels Ole Salscheider, Fabian Poggenhans, Marc Rene Zofka, J. Marius Zollner
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:1262-1276
This paper presents the concepts and methods utilized by Team AnnieWAY for the 2016 Grand Cooperative Driving Challenge. The paper introduces the automated vehicle BerthaOne . The vehicle, even though being based on the Bertha platform, distinguishes