Home /Research /nScan-matching: simultaneous matching of multiple scans and application to SLAM
PERCEPTION

nScan-matching: simultaneous matching of multiple scans and application to SLAM

Peter Biber, Wolfgang Straßer

Year
2006
Citations
27

Abstract

Scan matching is a popular way of recovering a mobile robot's motion and constitutes the basis of many localization and mapping approaches. Consequently, a variety of scan matching algorithms have been proposed in the past. All these algorithms share one common attribute: They match pairs of scans to obtain spatial relations between two robot poses. In this paper we present a method for matching multiple scans simultaneously. We discuss the need for such a method and describe how the result of such a multi-scan matching can be incorporated into relation-based SLAM in the Lu and Milios style

Keywords

Matching (statistics)Artificial intelligenceComputer scienceComputer visionSimultaneous localization and mappingMobile robotSpatial relationRobotRelation (database)Pattern recognition (psychology)

Related papers

Browse all PERCEPTION papers