6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection

Sheng Yu, Di-Hua Zhai, Yufeng Zhan, Wencai Wang, Yuyin Guan, Yuanqing Xia

Open source

DOI
10.1109/tnnls.2024.3442433
Published
2025-07
Container
IEEE Transactions on Neural Networks and Learning Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2024.3442433,
  title = {6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection},
  author = {Sheng Yu and Di-Hua Zhai and Yufeng Zhan and Wencai Wang and Yuyin Guan and Yuanqing Xia},
  year = {2025},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  doi = {10.1109/tnnls.2024.3442433},
  url = {https://doi.org/10.1109/tnnls.2024.3442433}
}

RIS

TY  - JOUR
TI  - 6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection
AU  - Sheng Yu
AU  - Di-Hua Zhai
AU  - Yufeng Zhan
AU  - Wencai Wang
AU  - Yuyin Guan
AU  - Yuanqing Xia
PY  - 2025
JO  - IEEE Transactions on Neural Networks and Learning Systems
DO  - 10.1109/tnnls.2024.3442433
UR  - https://doi.org/10.1109/tnnls.2024.3442433
ER  - 

APA

Yu, S., Zhai, D., Zhan, Y., Wang, W., Guan, Y., & Xia, Y. (2025). 6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2024.3442433

Source records