Visual SLAM for underwater vehicles: A survey

S Zhang, S Zhao, D An, J Liu, H Wang, Y Feng… - Computer Science …, 2022 - Elsevier
Underwater scene is highly unstructured, full of various noise interferences. Moreover, GPS
information is not available in the underwater environment, which thus brings huge …

Towards automated annotation of benthic survey images: Variability of human experts and operational modes of automation

O Beijbom, PJ Edmunds, C Roelfsema, J Smith… - PloS one, 2015 - journals.plos.org
Global climate change and other anthropogenic stressors have heightened the need to
rapidly characterize ecological changes in marine benthic communities across large scales …

Coral reef image classification employing improved LDP for feature extraction

NAB Mary, D Dharma - Journal of Visual Communication and Image …, 2017 - Elsevier
This paper presents a scheme for feature extraction that can be applied for classification of
corals in submarine coral reef images. In coral reef image classification, texture features are …

Detection of marine animals in a new underwater dataset with varying visibility

M Pedersen, J Bruslund Haurum… - Proceedings of the …, 2019 - openaccess.thecvf.com
The increasing demand for marine monitoring calls for robust automated systems to support
researchers in gathering information from marine ecosystems. This includes computer vision …

True color correction of autonomous underwater vehicle imagery

M Bryson, M Johnson‐Roberson… - Journal of Field …, 2016 - Wiley Online Library
This paper presents an automated approach to recovering the true color of objects on the
seafloor in images collected from multiple perspectives by an autonomous underwater …

A simple, fast, and repeatable survey method for underwater visual 3D benthic mapping and monitoring

O Pizarro, A Friedman, M Bryson… - Ecology and …, 2017 - Wiley Online Library
Visual 3D reconstruction techniques provide rich ecological and habitat structural
information from underwater imagery. However, an unaided swimmer or diver struggles to …

Automatic hierarchical classification of kelps using deep residual features

A Mahmood, AG Ospina, M Bennamoun, S An, F Sohel… - Sensors, 2020 - mdpi.com
Across the globe, remote image data is rapidly being collected for the assessment of benthic
communities from shallow to extremely deep waters on continental slopes to the abyssal …

Underwater robotic technology for imaging mesophotic coral ecosystems

RA Armstrong, O Pizarro, C Roman - Mesophotic coral ecosystems, 2019 - Springer
The development of advanced acoustic and optical imaging techniques along with
autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) has …

[HTML][HTML] Autonomous underwater navigation and optical mapping in unknown natural environments

JD Hernández, K Istenič, N Gracias, N Palomeras… - Sensors, 2016 - mdpi.com
We present an approach for navigating in unknown environments while, simultaneously,
gathering information for inspecting underwater structures using an autonomous underwater …

Gear-induced concept drift in marine images and its effect on deep learning classification

D Langenkämper, R Van Kevelaer, A Purser… - Frontiers in Marine …, 2020 - frontiersin.org
In marine research, image data sets from the same area but collected at different times allow
seafloor fauna communities to be monitored over time. However, ongoing technological …