Assuring the Safety of Machine Learning for Pedestrian Detection at Crossings

Gauerhof, Lydia, Hawkins, Richard David orcid.org/0000-0001-7347-3413, Picardi, Chiara et al. (3 more authors) (2020) Assuring the Safety of Machine Learning for Pedestrian Detection at Crossings. In: Computer Safety, Reliability, and Security:39th International Conference, SAFECOMP 2020, Lisbon, Portugal, September 16–18, 2020, Proceedings. Lecture Notes in Computer Science. Springer, pp. 197-212.

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Item Type: Proceedings Paper
Authors/Creators:
Dates:
  • Published: 31 July 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 04 Jun 2020 15:20
Last Modified: 20 Sep 2025 02:40
Published Version: https://doi.org/10.1007/978-3-030-54549-9_13
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Identification Number: 10.1007/978-3-030-54549-9_13
Open Archives Initiative ID (OAI ID):

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