Improved global localization and pose tracking of an autonomous mobile robot via fuzzy adaptive extended information filtering

Tsai, Ching‐Chih; Lin, Hung-Hsing

doi:10.1109/cacsd-cca-isic.2006.4776916

2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 2006

DOI: 10.1109/cacsd-cca-isic.2006.4776916

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Improved global localization and pose tracking of an autonomous mobile robot via fuzzy adaptive extended information filtering

Ching‐Chih Tsai

Hung-Hsing Lin

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2008

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Global sonar localization in a dynamic environment using preprocessed feedforward neural network

Lim

Yeo

2008

IEICE Electron. Express

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This paper presents a robust global localization method using Artificial Neural Network (ANN) to learn sonar sensor patterns associated to points in a specified area. Given a set of unseen sonar sensor readings, the ANN is capable of predicting the corresponding point in the map accurately even with the presence of small random noises. This technique can also be extended into the dynamic environment by simply cascading two ANN and incorporating a suitable filtering algorithm (FA) for preprocessing data purposes. Thereafter, after filtering out the corrupted components based on the information disseminate from the FA module, a FeedForward Network (FFN) is used to make the prediction after training with sufficient filtered epochs.

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Global sonar localization in a dynamic environment using preprocessed feedforward neural network

Lim

Yeo

2008

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

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Improved global localization and pose tracking of an autonomous mobile robot via fuzzy adaptive extended information filtering

Cited by 1 publication

References 11 publications

Global sonar localization in a dynamic environment using preprocessed feedforward neural network

Global sonar localization in a dynamic environment using preprocessed feedforward neural network

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