Depth-Guided Monocular Object Pose Estimation for Warehouse Automation

Depth-Guided Monocular Object Pose Estimation for Warehouse Automation

Accurate object pose estimation is essential for warehouse automation, enabling tasks such as robotic picking, sorting, and inventory management. Current state-of-the-art approaches rely on both color (RGB) and depth (D) images, as depth information provides critical geometric cues that enhance obje...

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Bibliographic Details
Main Authors: Phan Xuan Tan, Dinh-Cuong Hoang, Anh-Nhat Nguyen, Eiji Kamioka, Ta Huu Anh Duong, Tuan-Minh Huynh, Duc-Manh Nguyen, Duc-Huy Ngo, Minh-Duc Cao, Thu-Uyen Nguyen, Van-Thiep Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Minh-Quang Do
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Pose estimation
intelligent systems
deep learning
supervised learning
machine vision
Online Access:https://ieeexplore.ieee.org/document/11050422/
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