A Simultaneous Localization and Mapping System Using the Iterative Error State Kalman Filter Judgment Algorithm for Global Navigation Satellite System
Outdoor autonomous mobile robots heavily rely on GPS data for localization.However, GPS data can be erroneous and signals can be interrupted in highly urbanized areas or areas with incomplete satellite coverage, leading to localization deviations.In this paper, we propose a SLAM (Simultaneous Localization and Mapping) system that combines the IESKF