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Image-based homing

Jie Hong, X. Tan, Brian Pinette, Richard Weiss, Edward M. Riseman

Year
2002
Citations
165

Abstract

A system that allows a robot to acquire a model of its environment and to use this model to navigate is described. The system maps the environment as a set of snapshots of the world taken at target locations. The robot uses an image-based local homing algorithm to navigate between neighboring target locations. Features of the approach include an imaging system that acquires a compact, 360 degrees representation of the environment and an image-based, qualitative homing algorithm that allows the robot to navigate without explicitly inferring three-dimensional structure from the image. The results of an experiment in a typical indoor environment are described, and its argued that image-based navigation is a feasible alternative to approaches using three-dimensional models.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Keywords

Homing (biology)Computer visionComputer scienceArtificial intelligenceRobotImage (mathematics)Representation (politics)Set (abstract data type)Computer graphics (images)

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