@misc{10176,
  author       = {{Schmelter, Andreas and Leinhos, Dirk and Flatt, Holger and Ziehn, Jens and Schmelter, Andreas and Brand, Jan-Christopher and Ponholzer, Franz and von der Haar, Henrik and Beyer, Micha and Witte, Stefan}},
  issn         = {{2629-7973 }},
  pages        = {{292}},
  publisher    = {{DZSF}},
  title        = {{{Sensorik als technische Voraussetzung für ATO-Funktionen}}},
  volume       = {{31}},
  year         = {{2023}},
}

@misc{13020,
  abstract     = {{Developing AI systems for automatic train operation (ATO) requires developers to have a deep understanding of the human tasks they are trying to replace. This paper fills this gap and translates the regulatory requirements from the context of German railways for the AI developer community. As a result, tasks such as train’s path monitoring for collision prediction, signal detection, door operation, etc. are identified. Based on this analysis, a functionally justified sensor setup with detailed configuration requirements is presented. This setup was also evaluated by a survey within the railway industry. The evaluated sensors include RGB/IR cameras, LIDARs, radars and ultrasonic sensors. Calculations and estimates for the evaluated sensors are presented graphically and included in this paper. However, the ultimate sensor setup is still a subject of research. The results of this paper also address the lack of training and test datasets for railway AI systems. It is proposed to acquire research datasets that will allow the training of domain adaptation algorithms to transform other datasets, thus increasing the number of available datasets. The sensor setup is also recommended for such research datasets.}},
  author       = {{Tagiew, Rustam and Leinhos, Dirk and von der Haar, Henrik and Klotz, Christian and Sprute, Dennis and Ziehn, Jens and Schmelter, Andreas and Witte, Stefan and Klasek, Pavel}},
  booktitle    = {{Discover Artificial Intelligence}},
  issn         = {{2731-0809}},
  keywords     = {{Automatic train operation, ATO, GoA3, GoA4, Perception, AI}},
  number       = {{1}},
  publisher    = {{Springer International Publishing }},
  title        = {{{Sensor system for development of perception systems for ATO}}},
  doi          = {{10.1007/s44163-023-00066-4}},
  volume       = {{3}},
  year         = {{2023}},
}

@misc{10172,
  abstract     = {{This paper introduces the specific requirements of the domain of train operation and its regulatory framework to the AI community. It assesses sensor sets for driverless and unattended train operation. It lists functionally justified ranges of technical specifications for sensors of different types, which will generate input for AI perception algorithms (i.e. for signal and obstacle detection). Since an optimal sensor set is the subject of research, this paper provides the specification of a generic data acquisition platform as a crucial step. Some particular results are recommendations for the minimal resolution and shutter type for image sensors, as well as beam steering methods and resolutions for LiDARs.}},
  author       = {{Rustam, Tagiew and Dirk, Leinhos and von der Haar, Henrik and Klotz, Christian and Sprute, Dennis and Ziehn, Jens and Schmelter, Andreas and Witte, Stefan and Klasek, Pavel}},
  booktitle    = {{Dependable Computing – EDCC 2022 Workshops}},
  editor       = {{Marrone , Stefano}},
  isbn         = {{978-3-031-16244-2}},
  location     = {{Zaragoza, Spain}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Onboard Sensor Systems for Automatic Train Operation}}},
  doi          = {{10.1007/978-3-031-16245-9_11}},
  year         = {{2022}},
}

@unpublished{4864,
  author       = {{Flasskamp, Martin and Fast, Harry and Fliedner, Niels Hendrik and Henze-Sakowsky, Annika and Hufen, Florian and Lohmann, Paul and Lück, Söhnke and Schmelter, Andreas and Jungeblut, Thorsten and Jasperneite, Jürgen and Naumann, Rolf and Rückert, Ulrich and Schulte, Thomas and Witte, Stefan}},
  publisher    = {{Verbundforschungsprojekts MOVE-IN-OWL}},
  title        = {{{Vorstudie Vernetzte Mobilität OWL}}},
  year         = {{2020}},
}

@inbook{5591,
  author       = {{Schmelter, Andreas and Konradi, Oliver and Heiss, Stefan}},
  booktitle    = {{Technologien für die intelligente Automation}},
  isbn         = {{9783662598948}},
  issn         = {{2522-8579}},
  title        = {{{Sichere Benutzerauthentifizierung mit mobilen Endgeräten in industriellen Anwendungen}}},
  doi          = {{10.1007/978-3-662-59895-5_14}},
  year         = {{2019}},
}

@misc{10169,
  abstract     = {{The reduction of wires and connections is a fundamental necessity for upcoming industrial 4.0 solutions, requiring a large amount of reconfigurability and flexibility. Our research focuses on recent ways of combining energy and data transmission in single contactless transducers, enabling easy installation, maintenance and possible fulfilment of high protection classes. While this approach can typically be solved by combining Wifi and inductive energy transfer, the Wifi aspect is often limited by the available media access and channel occupation. Another issue is the real time capability of Wifi or other wireless transmission protocols like IEEE 802.15.4. While creating a new wireless or contactless standard is beyond the focus of this work, we concentrate on combining existing technologies and their interoperability. This includes powerline communication systems, near field data transmission and inductive energy transfer mechanisms.}},
  author       = {{Wesemann, Derk and Witte, Stefan and Schmelter, Andreas and Heß, Roland}},
  booktitle    = {{Communication in automation : 2016 IEEE World Conference on Factory Communication Systems (WFCS)$dMay 3-6, 2016, Aveiro, Portugal}},
  isbn         = {{ 978-1-5090-2339-4 }},
  keywords     = {{Automation, Industry 4.0, Contactless Data Transmission, Contactless Energy Transmission, Wireless Communication}},
  location     = {{Aveiro, Portugal}},
  publisher    = {{IEEE}},
  title        = {{{Flexible factory automation: Potentials of contactless transmission systems, combining state-of-the-art technologies}}},
  doi          = {{10.1109/WFCS.2016.7496533}},
  year         = {{2016}},
}

@misc{10161,
  author       = {{Schmelter, Andreas and Ahmad, Kaleem and Grotekemper, Michael and Riegel, Adrian and Witte, Stefan}},
  location     = {{IWMS}},
  title        = {{{FuLOG – Radio Based Data Logger For Integration In Production Processes}}},
  year         = {{2011}},
}

@misc{8285,
  author       = {{Schmelter, Andreas}},
  publisher    = {{Technische Hochschule Ostwestfalen Lippe}},
  title        = {{{Entwicklung eines prototypischen Security Gateways auf Basis einer FPGA Entwicklungsplattform unter Nutzung des Embedded-Betriebssystems µC-Linux}}},
  year         = {{2008}},
}