A review on deep learning-based approaches for automatic sonar target recognition
Underwater acoustics has been implemented mostly in the field of sound navigation and
ranging (SONAR) procedures for submarine communication, the examination of maritime …
ranging (SONAR) procedures for submarine communication, the examination of maritime …
A review of underwater mine detection and classification in sonar imagery
S Hożyń - Electronics, 2021 - mdpi.com
Underwater mines pose extreme danger for ships and submarines. Therefore, navies
around the world use mine countermeasure (MCM) units to protect against them. One of the …
around the world use mine countermeasure (MCM) units to protect against them. One of the …
HoloOcean: An underwater robotics simulator
Due to the difficulty and expense of underwater field trials, a high fidelity underwater
simulator is a necessity for testing and developing algorithms. To fill this need, we present …
simulator is a necessity for testing and developing algorithms. To fill this need, we present …
Realistic sonar image simulation using deep learning for underwater object detection
This paper proposes a method that synthesizes realistic sonar images using a Generative
Adversarial Network (GAN). A ray-tracing-based sonar simulator first calculates semantic …
Adversarial Network (GAN). A ray-tracing-based sonar simulator first calculates semantic …
CycleGAN-based realistic image dataset generation for forward-looking sonar
In this paper, we propose a novel method to generate realistic acoustic datasets for forward-
looking sonars. A forward-looking sonar, which is also known as an acoustic camera …
looking sonars. A forward-looking sonar, which is also known as an acoustic camera …
Physics-based modelling and simulation of multibeam echosounder perception for autonomous underwater manipulation
One of the key distinguishing aspects of underwater manipulation tasks is the perception
challenges of the ocean environment, including turbidity, backscatter, and lighting effects …
challenges of the ocean environment, including turbidity, backscatter, and lighting effects …
Deep learning algorithms for sonar imagery analysis and its application in aquaculture: A review
Y Chai, H Yu, L Xu, D Li, Y Chen - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
With the rapid development of underwater sensor techniques, using acoustic techniques to
obtain and analyze underwater images is an effective approach due to the superior nature of …
obtain and analyze underwater images is an effective approach due to the superior nature of …
Overhead image factors for underwater sonar-based slam
Simultaneous localization and mapping (SLAM) is a critical capability for any autonomous
underwater vehicle (AUV). However, robust, accurate state estimation is still a work in …
underwater vehicle (AUV). However, robust, accurate state estimation is still a work in …
Online 3-dimensional path planning with kinematic constraints in unknown environments using hybrid A* with tree pruning
In this paper we present an extension to the hybrid A*(HA*) path planner. This extension
allows autonomous underwater vehicle (AUVs) to plan paths in 3-dimensional (3D) …
allows autonomous underwater vehicle (AUVs) to plan paths in 3-dimensional (3D) …
Mapless navigation of a hybrid aerial underwater vehicle with deep reinforcement learning through environmental generalization
Previous works showed that Deep-RL can be applied to perform mapless navigation,
including the medium transition of Hybrid Unmanned Aerial Underwater Vehicles …
including the medium transition of Hybrid Unmanned Aerial Underwater Vehicles …