Abstract
In vast environments and poor visibility environments, sensor field of view is insufficient and Rao-Blackwellized Particle Filter SLAM often fails to building maps. We propose a new SLAM method using proposal distribution with sliding window matching of accumulated scan data. The proposed method compensates for the lack of field of view using accumulated scan data.