Enhanced PCA-based localization using depth maps with missing data

In this paper a new method for self-localization of mobile robots, based on a PCA positioning sensor to operate in unstructured environments, is proposed and experimentally validated. The proposed PCA extension is able to perform the eigenvectors computation from a set of signals corrupted by missin...

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Bibliographic Details
Main Author: Carreira, Fernando (author)
Other Authors: Calado, João Manuel Ferreira (author), Cardeira, Carlos (author), Oliveira, Paulo (author)
Format: article
Language:eng
Published: 2016
Subjects:
Mobile robots
Robot sensing systems
Sensor fusion
Principal component analysis
Kalman filters
Online Access:http://hdl.handle.net/10400.21/5809
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/5809

Internet

http://hdl.handle.net/10400.21/5809

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