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Low cost 3D mapping for indoor navigation

Yves Bergeon, Imed Hadda, Václav Křivánek, Jean Motsch, Alexandr Štefek

发表年份
2015
引用次数
14

摘要

This article focuses on the ability to use a robot with a low cost 3D Scanner (Kinect) in an indoor environment to do a mapping of different rooms in a building and to be able to localize itself when going back to the same room. This method uses SIFT points (points of interest in images) to be able to reconstruct the environment in 3D and uses these SIFT points to identify the localization of the robot.

关键词

Scale-invariant feature transformComputer scienceComputer visionArtificial intelligenceRobotScannerPoint of interestSimultaneous localization and mappingMobile robotMobile robot navigation

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