Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots-Reference-Cited by-同舟云学术

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Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 European Conference on Mobile Robots (ECMR)
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Author:

Hoang Dinh-Cuong,Stoyanov Todor,Lilienthal Achim J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8863436/8870343/08870927.pdf?arnumber=8870927

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi Task-Guided 6D Object Pose Estimation;Proceedings of the 2024 9th International Conference on Intelligent Information Technology;2024-02-23

2. Grasp Generation with Depth Estimation from Color Images;Proceedings of the 2024 9th International Conference on Intelligent Information Technology;2024-02-23

3. From Synthesis to Realism: Enhancing Logistics with Computer Vision and Domain-Adversarial Training;Proceedings of the 2024 9th International Conference on Intelligent Information Technology;2024-02-23

4. Object Pose Estimation Using Color Images and Predicted Depth Maps;IEEE Access;2024

5. Occlusion-Robust Pallet Pose Estimation for Warehouse Automation;IEEE Access;2024

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