AttentionPose: Attention-driven end-to-end model for precise 6D pose estimation

AttentionPose: Attention-driven end-to-end model for precise 6D pose estimation

Addressing the complex problem of 6D pose estimation from single RGB images is essential for robotics, augmented reality, and autonomous driving applications. The aim of this study is to overcome limitations in handling scenes with high object occlusion and clutter. We introduce an attention-driven...

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Bibliographic Details
Main Authors: Rasheed Mayada Abdalsalam, Farhan Rabah Nori, Jasim Wesam M.
Format: Article
Language:English
Published: De Gruyter 2023-12-01
Series:Journal of Intelligent Systems
Subjects:
pose estimation
robotic perception
attention mechanism
deep learning
image segmentation
object localization
Online Access:https://doi.org/10.1515/jisys-2023-0153

Internet

https://doi.org/10.1515/jisys-2023-0153

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