Visual place recognition: A survey

S Lowry, N Sünderhauf, P Newman… - ieee transactions on …, 2015 - ieeexplore.ieee.org
Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

Simultaneous enhancement and super-resolution of underwater imagery for improved visual perception

MJ Islam, P Luo, J Sattar - ar** technological synergies between deep-sea and space research
J Aguzzi, S Flögel, S Marini, L Thomsen, J Albiez… - Elem Sci …, 2022 - online.ucpress.edu
Recent advances in robotic design, autonomy and sensor integration create solutions for the
exploration of deep-sea environments, transferable to the oceans of icy moons. Marine …

Udepth: Fast monocular depth estimation for visually-guided underwater robots

B Yu, J Wu, MJ Islam - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
In this paper, we present a fast monocular depth estimation method for enabling 3D
perception capabilities of low-cost underwater robots. We formulate a novel end-to-end …

Resident subsea robotic systems: A review

Z Song, A Marburg, D Manalang - Marine Technology Society …, 2020 - ingentaconnect.com
Recent years have seen growing interest within the offshore technology sector in subsea
vehicles designed for deployment not from a manned surface ship but autonomously from …

Vision-based goal-conditioned policies for underwater navigation in the presence of obstacles

T Manderson, JCG Higuera, S Wapnick… - arxiv preprint arxiv …, 2020 - arxiv.org
We present Nav2Goal, a data-efficient and end-to-end learning method for goal-conditioned
visual navigation. Our technique is used to train a navigation policy that enables a robot to …

SVAM: Saliency-guided visual attention modeling by autonomous underwater robots

MJ Islam, R Wang, J Sattar - arxiv preprint arxiv:2011.06252, 2020 - arxiv.org
This paper presents a holistic approach to saliency-guided visual attention modeling
(SVAM) for use by autonomous underwater robots. Our proposed model, named SVAM-Net …

Visual tracking of deepwater animals using machine learning-controlled robotic underwater vehicles

K Katija, PLD Roberts, J Daniels… - Proceedings of the …, 2021 - openaccess.thecvf.com
The ocean is a vast three-dimensional space that is poorly explored and understood, and
harbors unobserved life and processes that are vital to ecosystem function. To fully …

Robot navigation via spatial and temporal coherent semantic maps

I Kostavelis, K Charalampous, A Gasteratos… - … Applications of Artificial …, 2016 - Elsevier
The ability of mobile robots to sense, interpret and map their environments in human terms is
decisive for their applicability to everyday activities hereafter. Bearing this view in mind, we …