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Predicting Vehicle Pose in Six Degrees of Freedom from Single Image in Real-World Traffic Environments Using Deep Pretrained Convolutional Networks and Modified Centernet

Suresh Kolekar

Suresh Kolekar

  • Computer Engineering Department, Symbiosis Institute of Technology, Symbiosis International (Deemed) UniversityPune, India
  • Symbiosis Centre of Applied A.I. (SCAAI), Symbiosis International (Deemed) UniversityPune, India
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Kolekar, Suresh
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Shilpa Gite

Shilpa Gite

  • Symbiosis Centre of Applied A.I. (SCAAI), Symbiosis International (Deemed) UniversityPune, India
  • Artificial Intelligence and Machine Learning Department, Symbiosis Institute of Technology, Symbiosis International (Deemed) UniversityPune, India
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Gite, Shilpa
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Biswajeet Pradhan

Biswajeet Pradhan

Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, Faculty of Engineering and I.T., University of Technology SydneyUltimo, Australia
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Pradhan, Biswajeet
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Abdulla Alamri

Abdulla Alamri

Department of Geology and Geophysics, College of Science, King Saud UniversityRiyadh, Saudi Arabia
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Alamri, Abdulla
  
06 ago 2024
Predicting Vehicle Pose in Six Degrees of Freedom from Single Image in Real-World Traffic Environments Using Deep Pretrained Convolutional Networks and Modified Centernet's Cover Image
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Categoria dell'articolo: Original Research Article
Pubblicato online: 06 ago 2024
Ricevuto: 18 apr 2024
DOI: https://doi.org/10.2478/ijssis-2024-0025
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© 2024 Suresh Kolekar et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Inglese
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1 volte all'anno
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