0
  • DE
  • EN
  • FR
  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

A non‐contact identification method of overweight vehicles based on computer vision and deep learning

Auteur(s): (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology Beijing China)
(Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology Beijing China)
(Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology Beijing China)
(Bridge and Tunnel Research Center Research Institute of Highway Ministry of Transport Beijing China)
(Bridge and Tunnel Research Center Research Institute of Highway Ministry of Transport Beijing China)
Médium: article de revue
Langue(s): anglais
Publié dans: Computer-Aided Civil and Infrastructure Engineering, , n. 22, v. 39
Page(s): 3452-3476
DOI: 10.1111/mice.13299
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1111/mice.13299.
  • Informations
    sur cette fiche
  • Reference-ID
    10791626
  • Publié(e) le:
    01.09.2024
  • Modifié(e) le:
    10.11.2024
 
Structurae coopère avec
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine