research-article

Towards Nucleation of GoA3+ Approval Process

Authors:

Christian Klotz,

Roman TillyAuthors Info & Claims

HPCCT '21: Proceedings of the 2021 5th High Performance Computing and Cluster Technologies Conference

Pages 41 - 47

https://doi.org/10.1145/3497737.3497742

Published: 23 December 2021 Publication History

Abstract

The approval of Automatic Train Operation (ATO) from GoA3 on (GoA3+) requires a strong developers’ network to ensure the homogeneous landscape of expert opinions for regulators and courts. Certain technologies needed for GoA3+, especially Computer Vision (CV) powered by Deep Learning (DL), are fast developing and therefore do not exhibit a sufficient degree of professional experience for technical norms, although there is no scarcity at methodical candidates for such an approval process. What appears to be missing is a set of the relevant approval requirements as well as their implications for CV and DL, in order to serve as a common nucleation core for the development of a GoA3+ approval process. This paper aims at providing such a core. THIS CONTRIBUTION REPRESENTS SOLELY AUTHORS’ PROFESSIONAL OPINION, NOT THE ONE OF THEIR EMPLOYER.

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Cited By

Tagiew RKlasek PTilly RKöppel MDenzler PNeumaier PKlockau TBoekhoff MSchwalbe K(2023)OSDaR23: Open Sensor Data for Rail 20232023 8th International Conference on Robotics and Automation Engineering (ICRAE)10.1109/ICRAE59816.2023.10458449(270-276)Online publication date: 17-Nov-2023
https://doi.org/10.1109/ICRAE59816.2023.10458449
Tagiew RLeinhos Dvon der Haar HKlotz CSprute DZiehn JSchmelter AWitte SKlasek P(2022)Onboard Sensor Systems for Automatic Train OperationDependable Computing – EDCC 2022 Workshops10.1007/978-3-031-16245-9_11(139-150)Online publication date: 5-Sep-2022
https://doi.org/10.1007/978-3-031-16245-9_11

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cover image ACM Other conferences

HPCCT '21: Proceedings of the 2021 5th High Performance Computing and Cluster Technologies Conference

July 2021

58 pages

ISBN:9781450390132

DOI:10.1145/3497737

Copyright © 2021 ACM.

© 2021 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 December 2021

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HPCCT 2021: 2021 5th High Performance Computing and Cluster Technologies Conference

July 2 - 4, 2021

Qingdao, China

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Cited By

Tagiew RKlasek PTilly RKöppel MDenzler PNeumaier PKlockau TBoekhoff MSchwalbe K(2023)OSDaR23: Open Sensor Data for Rail 20232023 8th International Conference on Robotics and Automation Engineering (ICRAE)10.1109/ICRAE59816.2023.10458449(270-276)Online publication date: 17-Nov-2023
https://doi.org/10.1109/ICRAE59816.2023.10458449
Tagiew RLeinhos Dvon der Haar HKlotz CSprute DZiehn JSchmelter AWitte SKlasek P(2022)Onboard Sensor Systems for Automatic Train OperationDependable Computing – EDCC 2022 Workshops10.1007/978-3-031-16245-9_11(139-150)Online publication date: 5-Sep-2022
https://doi.org/10.1007/978-3-031-16245-9_11

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