Bridging 2D and 3D Object Detection: Advances in Occlusion Handling through Depth Estimation
Object detection in occluded environments remains a core challenge in computer vision (CV), especially in domains such as autonomous driving and robotics. While Convolutional Neural Network (CNN)-based two-dimensional (2D) an... | Find, read and cite all the research you need on Tech Science Press
Authors
- Sidi Ahmed Mahmoudi (ORCID: https://orcid.org/0000-0002-1530-9524)
- Zainab Ouardirhi (ORCID: https://orcid.org/0000-0001-8302-7273)
- Mostapha Zbakh (ORCID: https://orcid.org/0000-0002-1408-3850)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.064283
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00