Improving 6D Localization with Rigid Body Prediction of Off-image Features
Document Type
Conference Proceeding
Publication Date
1-8-2024
Abstract
Excerpt: Accurately calculating the 6D position and orientation of an object from a single color image is a challenging task due to occlusions and information loss when the object moves out of the image frame. In this research, we present a novel approach to address this issue by training a neural network to detect components of the object that are outside the image boundary.
Source Publication
AIAA SCITECH 2024 Forum
Recommended Citation
Choate, J., & Nykl, S. L. (2024, January 8). Improving 6D Localization with Rigid Body Prediction of Off-image Features. AIAA SCITECH 2024 Forum. AIAA SCITECH 2024 Forum, Orlando, FL. https://doi.org/10.2514/6.2024-1299
Comments
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