HybridSLAM: Combining FastSLAM and EKF-SLAM for Reliable Mapping [chapter]

Alex Brooks, Tim Bailey
2009 Springer Tracts in Advanced Robotics  
This paper presents HybridSLAM: an approach to SLAM which combines the strengths and avoids the weaknesses of two popular mapping strategies: FastSLAM and EKF-SLAM. FastSLAM is used as a front-end, producing local maps which are periodically fused into an EKF-SLAM back-end. The use of FastSLAM locally avoids linearisation of the vehicle model and provides a high level of robustness to clutter and ambiguous data association. The use of EKF-SLAM globally allows uncertainty to be remembered over
more » ... ng vehicle trajectories, avoiding Fast-SLAM's tendency to become over-confident. Extensive trials in randomly-generated simulated environments show that HybridSLAM significantly out-performs either pure approach. The advantages of HybridSLAM are most pronounced in cluttered environments where either pure approach encounters serious difficulty. In addition, the HybridSLAM algorithm is experimentally validated in a real urban environment.
doi:10.1007/978-3-642-00312-7_40 fatcat:xdhsrq5ptnhofc4ilg6rx3uoc4