Abstract
This document describes a distance measurement system for underwater applications with computer vision and an Artificial Neural Network (ANN). The developed system is installed in the observation class remotely operated vehicle (ROV) Visor3, to be used in experimental testing. An integrated camera with two laser pointers are used to obtain input data to a Multi-Layer Perceptron (MLP) ANN, trained with a resilient backpropagation algorithm (RPROP). The solution described in this paper is an alternative to other methods found in the literature. Experimental results are presented.
Original language | English |
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Title of host publication | 2016 IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Conference Proceedings |
Editors | Henry Carrillo Lindado |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509037872 |
DOIs | |
State | Published - 9 Jan 2017 |
Event | 1st IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Bogota D.C., Colombia Duration: 29 Sep 2016 → 30 Sep 2016 |
Publication series
Name | 2016 IEEE Colombian Conference on Robotics and Automation, CCRA 2016 - Conference Proceedings |
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Conference
Conference | 1st IEEE Colombian Conference on Robotics and Automation, CCRA 2016 |
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Country/Territory | Colombia |
City | Bogota D.C. |
Period | 29/09/16 → 30/09/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.