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Scan Matching in the Hough Domain

Andrea Censi, Luca Iocchi, Giorgio Grisetti

发表年份
2006
引用次数
105

摘要

Scan matching is used as a building block in many robotic applications, for localization and simultaneous localization and mapping (SLAM). Although many techniques have been proposed for scan matching in the past years, more efficient and effective scan matching procedures allow for improvements of such associated problems. In this paper we present a new scan matching method that, exploiting the properties of the Hough domain, allows for combining advantages of dense scan matching algorithms with feature-based ones.

关键词

Matching (statistics)Hough transformComputer scienceArtificial intelligenceComputer visionDomain (mathematical analysis)Feature (linguistics)Block (permutation group theory)Simultaneous localization and mappingPattern recognition (psychology)

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