Estimation With Fast Feature Selection in Robot Visual Navigation

We consider the robot localization problem with sparse visual feature selection. The underlying key property is that contributions of trackable features (landmarks) appear linearly in the information matrix of the corresponding estimation problem. We utilize standard models for motion and vision sys...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 5; H. 2; S. 3572 - 3579
Hauptverfasser:	Mousavi, Hossein K., Motee, Nader
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Autonomous agents Computer simulation Covariance matrices Feature extraction localization Mathematical models Navigation Robot localization Robots Vision systems visual-based navigation
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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