ROV Inspection System with Vision-based Color Correction and Tracking Algorithm for High Depth and Low Light Ecosystems

Diego Arce, Laureano Rodriguez, Alexander Segovia, Miguel Vargas, Cesar Carranza, Francisco Cuellar

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

In this paper we present the design, implementation and preliminary tests of a high depth underwater ROV inspection system. The ROV is equipped with a sensor-based system in order to characterize the water quality of marine ecosystems, and a vision-based system to identify the marine species. The vision system includes an adaptive color correction algorithm and a tracking algorithm that improves in real time the tracking of living species during inspection. A prototype was implemented to validate the functionality of the ROV operation and the vision system algorithms.

Idioma originalInglés
PublicaciónOceans Conference Record (IEEE)
DOI
EstadoPublicada - 2022
EventoOCEANS 2022 - Chennai - Chennai, India
Duración: 21 feb. 202224 feb. 2022

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