This paper presents a homing algorithm for an autonomous robot that uses only visual information. An image grabbed at the target position is compared with the perceived one to determine the position of the robot and its target. Visual landmarks are extracted autonomously from the images and a correlation criterion, based on a novel visual landmark descriptor equalization, is presented.

A novel visual landmark matching for a biologically inspired homing / A. Rizzi, D. Duina, S. Inelli, R. Cassinis. - In: PATTERN RECOGNITION LETTERS. - ISSN 0167-8655. - 22:13(2001 Nov), pp. 1371-1378.

A novel visual landmark matching for a biologically inspired homing

A. Rizzi
Primo
;
2001

Abstract

This paper presents a homing algorithm for an autonomous robot that uses only visual information. An image grabbed at the target position is compared with the perceived one to determine the position of the robot and its target. Visual landmarks are extracted autonomously from the images and a correlation criterion, based on a novel visual landmark descriptor equalization, is presented.
Homing; Mellin transform; Robot navigation; Visual landmark
Settore INF/01 - Informatica
nov-2001
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/172222
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