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Qualitative Relational Mapping for Planetary Rover Exploration

Mark McClelland, Mark Campbell, Tara Estlin

发表年份
2013
引用次数
4

摘要

This paper presents a novel method for autonomous robotic qualitative mapping of large scale spaces. The proposed framework makes use of a graphical representation of the world in order to build a map consisting of qualitative constraints on the relationships between objects observed by the robot. These relationships are represented in terms of the relative geometrical layout of landmark triplets. A novel measurement method based on camera imagery is presented which extends previous work from the field of Qualitative Spatial Reasoning. Measurements are fused into the map using a deterministic approach based on iterative graph updates. Experimental results are presented for a robot traversing a Mars-like environment while building a relational map.

关键词

Computer scienceRobotTraverseSpatial intelligenceRepresentation (politics)Mars Exploration ProgramSimultaneous localization and mappingLandmarkArtificial intelligenceGraph

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