AURORA, A multi sensor dataset for robotic ocean exploration

Citation Author(s):
Marco
Bernardi
University of Rome, La Sapienza
Brett
Hosking
National Oceanography Centre
Chiara
Petrioli
University of Rome, La Sapienza
Brian J.
Bett
National Oceanography Centre
Daniel
Jones
National Oceanography Centre
Veerle A.I.
Huvenne
National Oceanography Centre
Rachel
Marlow
National Oceanography Centre
Maaten
Furlong
National Oceanography Centre
Steve
McPhail
National Oceanography Centre
Andrea
Munafo
National Oceanography Centre
Submitted by:
Andrea Munafo
Last updated:
Tue, 11/09/2021 - 03:16
DOI:
10.21227/nnms-te61
License:
0
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Abstract 

The current maturity of autonomous underwater vehicles (AUVs) has made their deployment practical and cost-effective, such that many scientific, industrial and military applications now include AUV operations. However, the logistical difficulties and high costs of operating at-sea are still critical limiting factors in further technology development, the benchmarking of new techniques and the reproducibility of research results. To overcome this problem, we present a freely available dataset suitable to test control, navigation, sensor processing algorithms and others tasks. This dataset combines AUV navigation data, side-scan sonar, multibeam echosounder data and seafloor camera image data, and associated sensor acquisition meta-data to provide a detailed characterisation of surveys carried out by the National Oceanography Centre (NOC) in the Greater Haig Fras Marine Conservazion Zone (MCZ) of the U.K in 2015.

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