Skip to main content
Have a personal or library account? Click to login
Monocular Depth Estimation: A Review on Hybrid Architectures, Transformers and Addressing Adverse Weather Conditions Cover

Monocular Depth Estimation: A Review on Hybrid Architectures, Transformers and Addressing Adverse Weather Conditions

Applied Computer Systems
Volume 30 (2025): Issue 1 (January 2025)
By: Lakindu Kumara,  Nipuna Senanayake and  Guhanathan Poravi  
Open Access
|Jan 2025
Authors

Authors

Lakindu Kumara

lakindu.20200987@iit.ac.lk

Informatics Institute of Technology, Colombo, Sri Lanka

Nipuna Senanayake

nipuna.s@iit.ac.lk

Informatics Institute of Technology, Colombo, Sri Lanka

Guhanathan Poravi

guhanathan.p@iit.ac.lk

Informatics Institute of Technology, Colombo, Sri Lanka
DOI: https://doi.org/10.2478/acss-2025-0003 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
Journal RSS Feed
Language: English
Page range: 21 - 33
Submitted on: Aug 22, 2024
Accepted on: Dec 18, 2024
Published on: Jan 24, 2025
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Addressing weather conditions,
attention,
CNN-transformer hybrid methods,
monocular depth estimation
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2025 Lakindu Kumara, Nipuna Senanayake, Guhanathan Poravi, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 30 (2025): Issue 1 (January 2025)
Previous article
Next article