Experimental implementation of an Invariant Extended Kalman Filter-based scan matching SLAM

Martin Barczyk, Silvere Bonnabel, Jean-Emmanuel Deschaud, Francois Goulette
2014 2014 American Control Conference  
We describe an application of the Invariant Extended Kalman Filter (IEKF) design methodology to the scan matching SLAM problem. We review the theoretical foundations of the IEKF and its practical interest of guaranteeing robustness to poor state estimates, then implement the filter on a wheeled robot hardware platform. The proposed design is successfully validated in experimental testing.
doi:10.1109/acc.2014.6859291 dblp:conf/amcc/BarczykBDG14 fatcat:bnrujgjpafdjxeaqqudhkcojge