Onboard Sensor Systems for Automatic Train Operation

T. Rustam, L. Dirk, H. von der Haar, C. Klotz, D. Sprute, J. Ziehn, A. Schmelter, S. Witte, P. Klasek, Onboard Sensor Systems for Automatic Train Operation, Springer International Publishing, Berlin, 2022.

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Konferenzband - Beitrag | Veröffentlicht | Englisch
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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.
Erscheinungsjahr
Titel Konferenzband
Dependable Computing – EDCC 2022 Workshops
Konferenz
International Workshop on Artificial Intelligence for RAILwayS 2022
Konferenzort
Zaragoza, Spain
Konferenzdatum
2022-09-12 – 2022-09-12
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Rustam T, Dirk L, von der Haar H, et al. Onboard Sensor Systems for Automatic Train Operation. (Marrone S, ed.). Springer International Publishing; 2022. doi:10.1007/978-3-031-16245-9_11
Rustam, T., Dirk, L., von der Haar, H., Klotz, C., Sprute, D., Ziehn, J., Schmelter, A., Witte, S., & Klasek, P. (2022). Onboard Sensor Systems for Automatic Train Operation. In S. Marrone (Ed.), Dependable Computing – EDCC 2022 Workshops. Springer International Publishing. https://doi.org/10.1007/978-3-031-16245-9_11
Rustam T et al. (2022) Onboard Sensor Systems for Automatic Train Operation, Marrone S (ed.). Berlin: Springer International Publishing.
Rustam, Tagiew, Leinhos Dirk, Henrik von der Haar, Christian Klotz, Dennis Sprute, Jens Ziehn, Andreas Schmelter, Stefan Witte, and Pavel Klasek. Onboard Sensor Systems for Automatic Train Operation. Edited by Stefano Marrone . Dependable Computing – EDCC 2022 Workshops. Communications in Computer and Information Science. Berlin: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-16245-9_11.
Rustam, Tagiew, Leinhos Dirk, Henrik von der Haar, Christian Klotz, Dennis Sprute, Jens Ziehn, Andreas Schmelter, Stefan Witte und Pavel Klasek. 2022. Onboard Sensor Systems for Automatic Train Operation. Hg. von Stefano Marrone . Dependable Computing – EDCC 2022 Workshops. Communications in Computer and Information Science. Berlin: Springer International Publishing. doi:10.1007/978-3-031-16245-9_11, .
Rustam, Tagiew ; Dirk, Leinhos ; von der Haar, Henrik ; Klotz, Christian ; Sprute, Dennis ; Ziehn, Jens ; Schmelter, Andreas ; Witte, Stefan ; u. a. ; Marrone , S. (Hrsg.): Onboard Sensor Systems for Automatic Train Operation, Communications in Computer and Information Science. Berlin : Springer International Publishing, 2022
T. Rustam, L. Dirk, H. von der Haar, C. Klotz, D. Sprute, J. Ziehn, A. Schmelter, S. Witte, P. Klasek, Onboard Sensor Systems for Automatic Train Operation, Springer International Publishing, Berlin, 2022.
T. Rustam et al., Onboard Sensor Systems for Automatic Train Operation. Berlin: Springer International Publishing, 2022. doi: 10.1007/978-3-031-16245-9_11.
Rustam, Tagiew, et al. “Onboard Sensor Systems for Automatic Train Operation.” Dependable Computing – EDCC 2022 Workshops, edited by Stefano Marrone , Springer International Publishing, 2022, https://doi.org/10.1007/978-3-031-16245-9_11.
Rustam, Tagiew u. a.: Onboard Sensor Systems for Automatic Train Operation, hg. von Marrone , Stefano, Berlin 2022 (Communications in Computer and Information Science).
Rustam T, Dirk L, von der Haar H, Klotz C, Sprute D, Ziehn J, et al. Onboard Sensor Systems for Automatic Train Operation. Marrone S, editor. Dependable Computing – EDCC 2022 Workshops. Berlin: Springer International Publishing; 2022. (Communications in Computer and Information Science).

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