A Dataset and Benchmark of Underwater Object Detection for Robot Picking [PDF]
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021 Underwater object detection for robot picking has attracted a lot of interest. However, it is still an unsolved problem due to several challenges. We take steps towards making it more realistic by addressing the following challenges.
Chongwei Liu +6 more
semanticscholar +1 more source
Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder
EURASIP Journal on Advances in Signal Processing, 2022 Passive localization of underwater targets was a thorny problem in underwater acoustics. For traditional model-driven passive localization methods, the main challenges are the inevitable environmental mismatch and the presence of interference and noise ...
Pian Jin +4 more
doaj +1 more source
YOLO-Based Fish Detection in Underwater Environments
Environmental Sciences Proceedings, 2023 In this work, we present a comprehensive study on fish detection in underwater environments using sonar images from the Caltech Fish Counting Dataset (CFC).
Mohammed Yasser Ouis, Moulay Akhloufi
doaj +1 more source
Research on the Influence of Underwater Image Enhancement Restoration on the Accuracy of Deep Learning Object Detection [PDF]
Jisuanji gongcheng, 2023 Due to the particularity of the underwater environment, underwater optical images often suffer from degradation issues such as color cast, blur, and low contrast.
Xieliu YANG, Guowen MEN, Wenfeng LIANG, Dan WANG, Zhengyi XIE, Huijie FAN
doaj +1 more source
A New Method of Ship Type Identification Based on Underwater Radiated Noise Signals
Journal of Marine Science and Engineering, 2023 Ship type identification is an important basis for ship management and monitoring. The paper proposed a new method of ship type identification by combining characteristic parameters from the energy difference between high and low frequencies and the ...
Shanshan Chen +4 more
doaj +1 more source
Prediction Method of Underwater Acoustic Transmission Loss Based on Deep Belief Net Neural Network
Applied Sciences, 2021 The prediction of underwater acoustic transmission loss in the sea plays a key role in generating situational awareness in complex naval battles and assisting underwater operations. However, the traditional classical underwater acoustic transmission loss
Yihao Zhao +4 more
doaj +1 more source
ENHANCEMENT OF UNDERWATER IMAGES WITH ARTIFICIAL INTELLIGENCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesCamera systems using optical sensors have made great progress in recent years in obtaining underwater images. Very high-resolution images can be obtained with underwater cameras.
Z. Ertan +5 more
doaj +1 more source
A Markov Chain state transition approach to establishing critical phases for AUV reliability [PDF]
, 2011 The deployment of complex autonomous underwater platforms for marine science comprises a series of sequential steps. Each step is critical to the success of the mission. In this paper we present a state transition approach, in the form of a Markov chain,
Brito, Mario, Griffiths, Gwyn
core +1 more source
Self Calibration of a Sonar–Vision System for Underwater Vehicles: A New Method and a Dataset
Italian National Conference on Sensors, 2023 Monocular cameras and multibeam imaging sonars are common sensors of Unmanned Underwater Vehicles (UUV). In this paper, we propose a new method for calibrating a hybrid sonar–vision system.
Nicolas Pécheux +3 more
semanticscholar +1 more source
An Improved YOLOv5s-Based Scheme for Target Detection in a Complex Underwater Environment
Journal of Marine Science and Engineering, 2023 At present, sea cucumbers, sea urchins, and other seafood products have become increasingly significant in the seafood aquaculture industry. In traditional fishing operations, divers go underwater for fishing, and the complex underwater environment can ...
Chenglong Hou +4 more
doaj +1 more source