Results 21 to 30 of about 166,209 (277)
Design of the SABAT system for underwater detection of dangerous substances [PDF]
, 2016 We present status of simulations used to design a novel device for the detection of hazardous substances in the aquatic environment using neutron activation. Unlike the other considered methods based on this technique we propose to use guides for neutron
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Optimized Environment Exploration for Autonomous Underwater Vehicles [PDF]
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018 Achieving full autonomous robotic environment exploration in the underwater domain is very challenging, mainly due to noisy acoustic sensors, high localization error, control disturbances of the water and lack of accurate un- derwater maps. In this work we present a robotic exploration algorithm for underwater vehicles that does not rely on prior ...
Vidal, Eduard +3 more
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Underwater image enhancement algorithm based on dark channel prior and underwater imaging model [PDF]
MATEC Web of Conferences, 2021 The main reason for the degradation of the underwater image is the light absorption and scattering. The images are captured in the underwater environment often have some problems such as loss of image information, low contrast, and color distortion.
Sun Zhengping, Li Fubing, Yang Yuying
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Optimization of depth-based routing for underwater wireless sensor networks through intelligent assignment of initial energy [PDF]
, 2017 Underwater Wireless Sensor Networks (UWSNs) are extensively used to explore the diverse marine environment. Energy efficiency is one of the main concerns regarding performance of UWSNs.
Ahmed, Tanveer +4 more
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Underwater SLAM in man‐made structured environments [PDF]
Journal of Field Robotics, 2008 AbstractThis paper describes a navigation system for autonomous underwater vehicles (AUVs) in partially structured environments, such as dams, harbors, marinas, and marine platforms. A mechanically scanned imaging sonar is used to obtain information about the location of vertical planar structures present in such environments. A robust voting algorithm
Ribas, David +3 more
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Journal of Marine Science and Engineering, 2023 Performing object tracking tasks and efficiently perceiving the underwater environment in real time for underwater vehicles is a challenging task due to the complex nature of the underwater environment. A hybrid excitation model based lightweight Siamese
Xiaofeng Wu +5 more
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Distributed localization in cluttered underwater environments
Proceedings of the Fifth ACM International Workshop on UnderWater Networks - WUWNet '10, 2010 Mapping and exploration of closed fluid tanks, such as nuclear waste storage tanks and water sewage treatment ponds, by a swarm of underwater robots requires them to be aware of their positions, as they traverse the depths of the tank. This paper considers the challenges faced in localizing robots using reference-based localization in such clutter ...
Hussain, M, Trigoni, N
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Source localization in shallow ocean using a deep learning approach with range-dependent sound speed profile modeling [PDF]
JASA Express LettersModel-based deep learning approaches provide an alternative scheme to address the problem of the shortage of training data. However, performance degradation caused by sound speed profile (SSP) mismatch remains a critical challenge, particularly in ...
Jing Guo, Juan Zeng
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Underwater Object Segmentation Integrating Transmission and Saliency Features
IEEE Access, 2019 Various types of knowledge and features have been explored for level set-based segmentation. On the ground, the prior knowledge and carefully-designed features perform well to identify the foreground-background contrast, which improves the performance of
Zhe Chen +5 more
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Underwater acoustic target recognition using attention-based deep neural network [PDF]
JASA Express Letters, 2021 Underwater acoustic target recognition based on ship-radiated noise is difficult owing to the complex marine environment and the interference by multiple targets. As an important technology for target recognition, deep-learning has high accuracy but poor
Xu Xiao +4 more
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