Optimizing Fiducial Marker Placement for Improved Visual Localization

Optimizing Fiducial Marker Placement for Improved Visual Localization

Adding fiducial markers to a scene is a well-known strategy for making visual localization algorithms more robust. Traditionally, these marker locations are selected by humans who are familiar with visual localization techniques. This paper explores the problem of automatic marker placement within a...

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Bibliographic Details
Main Authors: Huang, Qiangqiang, DeGol, Joseph, Fragoso, Victor, Sinha, Sudipta N., Leonard, John J.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2024
Subjects:
Artificial Intelligence
Control and Optimization
Computer Science Applications
Computer Vision and Pattern Recognition
Mechanical Engineering
Human-Computer Interaction
Biomedical Engineering
Control and Systems Engineering
Online Access:https://hdl.handle.net/1721.1/153658

Internet

https://hdl.handle.net/1721.1/153658

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