2020
Estimation With Fast Feature Selection in Robot Visual Navigation
RA-L 2020
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