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Towards Optical Flow-based Robotic Homing

Record type: Conference or Workshop Item (Other)

This paper presents a novel biologically-inspired approach for tackling the problem of robot homing. In our method the only information employed is optical flow. Optical flow, which is not a property of landmarks like colour, shape, and size but a property of the camera motion, is used for localising an autonomous robot in a priori unknown environment. Our method exploits the optical flow ‘fingerprint’ of landmarks caused by the motion of the robot in the environment. For this purpose, we have developed a training algorithm that estimates the probability of observing the same landmark from varying distances and velocities. Our method promises to be computationally efficient and inexpensive. The simulation results we present show the validity of our methods.

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Citation

Diamantas, Sotirios, Oikonomidis, Anastasios and Crowder, Richard (2010) Towards Optical Flow-based Robotic Homing At International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Spain.

More information

Submitted date: 18 July 2010
Additional Information: Event Dates: July, 2010
Venue - Dates: International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Spain, 2010-07-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 268755
URI: http://eprints.soton.ac.uk/id/eprint/268755
PURE UUID: 19048d2d-f8e4-4c12-be93-8c315cbbeffc

Catalogue record

Date deposited: 18 Mar 2010 15:31
Last modified: 18 Jul 2017 06:52

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Contributors

Author: Sotirios Diamantas
Author: Anastasios Oikonomidis
Author: Richard Crowder

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