Feature Selection Criteria for Real Time EKF-SLAM Algorithm
This paper presents a seletion procedure for environmet features for the correction stage of a SLAM (Simultaneous Localization and Mapping) algorithm based on an Extended Kalman Filter (EKF).This AMINO 1 ORANGER approach decreases the computational time of the correction stage which allows for real and constant-time implementations of the SLAM.The