Forward Prediction of Target Localization Failure Through Pose Estimation Artifact Modelling-Reference-Cited by-同舟云学术

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Forward Prediction of Target Localization Failure Through Pose Estimation Artifact Modelling

Published:2024-05 Issue:5 Volume:9 Page:4591-4598
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Windsor Morgan¹^ORCID,Fontan Alejandro¹^ORCID,Pivonka Peter²^ORCID,Milford Michael J¹^ORCID

Affiliation:

1. QUT Centre for Robotics, School of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, QLD, Australia

2. QUT Centre for Biomedical Technologies, School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia

Funder

QUT Centre for Robotics

ARC Laureate Fellowship

ARC Industrial Transformation Training Centre for Uniquely Australian Foods

Australian Government Research Training Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10474437/10480534.pdf?arnumber=10480534

Reference40 articles.

1. Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization

2. Predicting to Improve: Integrity Measures for Assessing Visual Localization Performance

3. Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition

4. Pose Quality Prediction for Vision Guided Robotic Shoulder Arthroplasty

5. A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators

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