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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 Cover

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

International Journal on Smart Sensing and Intelligent Systems
Volume 17 (2024): Issue 1 (January 2024)
By: Suresh Kolekar,  Shilpa Gite,  Biswajeet Pradhan and  Abdulla Alamri  
Open Access
|Aug 2024
DOI: https://doi.org/10.2478/ijssis-2024-0025 | Journal eISSN: 1178-5608
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Language: English
Submitted on: Apr 18, 2024
Published on: Aug 6, 2024
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Vehicle pose prediction,
Autonomous driving,
3D traffic scene understanding,
ResNet50,
ResNext50,
DenseNet201,
Inception-ResNetV2
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Suresh Kolekar, Shilpa Gite, Biswajeet Pradhan, Abdulla Alamri, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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