Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Autonomous underwater navigation and optical mapping in unknown natural environments

Hernández, Juan David, Istenic, Klemen, Gracias, Nuno, Palomeras, Narcís, Campos, Ricard, Vidal, Eduard, García, Rafael and Carreras, Marc 2016. Autonomous underwater navigation and optical mapping in unknown natural environments. Sensors 16 (8) , 1174. 10.3390/s16081174

[thumbnail of Hernández et al. - 2016 - Autonomous Underwater Navigation and Optical Mapping in Unknown Natural Environments.pdf]
PDF - Published Version
Available under License Creative Commons Attribution.

Download (50MB) | Preview


We present an approach for navigating in unknown environments while, simultaneously, gathering information for inspecting underwater structures using an autonomous underwater vehicle (AUV). To accomplish this, we first use our pipeline for mapping and planning collision-free paths online, which endows an AUV with the capability to autonomously acquire optical data in close proximity. With that information, we then propose a reconstruction pipeline to create a photo-realistic textured 3D model of the inspected area. These 3D models are also of particular interest to other fields of study in marine sciences, since they can serve as base maps for environmental monitoring, thus allowing change detection of biological communities and their environment over time. Finally, we evaluate our approach using the Sparus II, a torpedo-shaped AUV, conducting inspection missions in a challenging, real-world and natural scenario.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: MDPI
ISSN: 1424-8220
Date of First Compliant Deposit: 19 February 2021
Date of Acceptance: 14 July 2016
Last Modified: 19 Feb 2021 16:53

Citation Data

Cited 43 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics