A deep learning based hazardous materials (HAZMAT) sign detection robot with restricted computational resources

Sharifi, A, Zibaei, A and Rezaei, M orcid.org/0000-0003-3892-421X (2021) A deep learning based hazardous materials (HAZMAT) sign detection robot with restricted computational resources. Machine Learning with Applications. 100104. p. 100104. ISSN 2666-8270

Abstract

Metadata

Authors/Creators:
Keywords: Hazardous materials; Object recognition; HAZMAT sign detection; Segmentation; CNN; Rescue robotics
Dates:
  • Accepted: 30 June 2021
  • Published (online): 6 July 2021
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: 13 Jul 2021 12:00
Last Modified: 13 Jul 2021 12:00
Status: Published online
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.mlwa.2021.100104

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