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Ultrasonic and video data fusion for mobile robot navigation

Andrea Bonci, Sauro Longhi

Year
2002
Citations
3

Abstract

A multisensor fusion approach for improving the map-building capability of a mobile robot is presented in this paper. Ultrasonic and video data are used. A modelling technique for indoor environments based on line features extraction from video data and from range data is proposed. The Hough transform is considered for extracting lines from the occupancy grid and from video images.

Keywords

Occupancy grid mappingComputer scienceComputer visionHough transformMobile robotArtificial intelligenceUltrasonic sensorSensor fusionRobotImage (mathematics)

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