MIMO-SAR Multi-Session Simultaneous Localization and Mapping

In this paper we propose a multi-session
simultaneous localization and mapping algorithm using multiple
input multiple output synthetic aperture radar images. Our
algorithm uses only radar data to calculate odometry,
loop-closure and inter-session constraints as well as to generate
a map of the traversed environment. The proposed algorithm
was validated through real-world data displaying better overall
trajectory estimation, e.g., 79.3% improvement in terms of mean
absolute error, as well as expanded radar-generated maps.