A Real-Time Ball Detection Approach Using Convolutional Neural Networks

Teimouri, M, Delavaran, MH and Rezaei, M orcid.org/0000-0003-3892-421X (2019) A Real-Time Ball Detection Approach Using Convolutional Neural Networks. In: Lecture Notes in Computer Science. RoboCup 2019: Robot World Cup XXIII, 02-08 Jul 2019, Sydney, Australia. Springer , pp. 323-336. ISBN 978-3-030-35698-9

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Copyright, Publisher and Additional Information: © Springer Nature Switzerland AG 2019. This is an author produced version of a conference paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Ball detection; Convolutional neural networks; Humanoid robot; RoboCup
Dates:
  • Published: 1 December 2019
  • Accepted: 3 June 2019
  • Published (online): 1 December 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 02 Sep 2020 15:32
Last Modified: 06 Sep 2020 04:32
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/978-3-030-35699-6_25

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