Results 21 to 30 of about 11,277,587 (243)

Predicting LiDAR Data From Sonar Images [PDF]

open access: yesIEEE Access, 2021
Sensors using ultrasonic sound have proven to provide accurate 3D perception in difficult environments where other modalities fail. Several industrial sectors need accurate and reliable sensing in these harsh conditions. The conventional LiDAR/camera approach in many state-of-the-art autonomous navigation methods is limited to environments with optimal
Niels Balemans   +2 more
openaire   +3 more sources

Self-supervised Learning for Sonar Image Classification [PDF]

open access: yes, 2022
Self-supervised learning has proved to be a powerful approach to learn image representations without the need of large labeled datasets. For underwater robotics, it is of great interest to design computer vision algorithms to improve perception ...
Preciado-Grijalva, Alan   +3 more
core   +3 more sources

Research on sonar image few-shot classification based on deep learning

open access: yesXibei Gongye Daxue Xuebao, 2022
The underwater environment is complex and diverse, which makes it difficult to evolve traditional methods such as manually extracting features from blurred images.
CHEN Yule   +3 more
doaj   +1 more source

Physics-Based Modelling and Simulation of Multibeam Echosounder Perception for Autonomous Underwater Manipulation

open access: yesFrontiers in Robotics and AI, 2021
One of the key distinguishing aspects of underwater manipulation tasks is the perception challenges of the ocean environment, including turbidity, backscatter, and lighting effects.
Woen-Sug Choi   +8 more
doaj   +1 more source

Research on Convolutional Neural Network Model for Sonar IMAGE Segmentation

open access: yesMATEC Web of Conferences, 2018
The speckle noise of sonar images affects the human interpretation and automatic recognition of images seriously. It is important and difficult to realize the precision segmentation of sonar image with speckle noise in the field of image processing. Full
Jiao Shengxi, Zhao Chunyu, Xin Ye
doaj   +1 more source

Multi-Modal Multi-Stage Underwater Side-Scan Sonar Target Recognition Based on Synthetic Images

open access: yesRemote Sensing, 2023
Due to the small sample size of underwater acoustic data and the strong noise interference caused by seabed reverberation, recognizing underwater targets in Side-Scan Sonar (SSS) images is challenging.
Jian Wang   +4 more
doaj   +1 more source

Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik   +8 more
wiley   +1 more source

Dose-response relationships for the onset of avoidance of sonar by free-ranging killer whales [PDF]

open access: yes, 2014
The authors acknowledge the support of the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) in the completion of this study.
Samarra, Filipa Isabel Pereira   +21 more
core   +1 more source

The use of active sonar to study cetaceans [PDF]

open access: yes, 2012
Cetacean species face serious challenges worldwide due to the increasing noise pollution brought to their environment by human activities such as seismic exploration. Regulation of these activities is vaguely defined and uncoordinated.
Bernasconi, Matteo
core   +2 more sources

Design of Morphological Detector Monitoring System on Horizontal Underground Salt Cavern

open access: yesTaiyuan Ligong Daxue xuebao, 2021
Aiming at the difficulty in the application of traditional sonar technology in the measurement of horizontal salt caverns, a salt cavern shape detection method with image sonar was proposed, and the monitoring system of the detector was designed and ...
Yanzhao HAO, Chunyan Ma
doaj   +1 more source

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