Results 41 to 50 of about 3,484 (184)

Multiple Autonomous Underwater Vehicle Formation Obstacle Avoidance Control Using Event-Triggered Model Predictive Control

Journal of Marine Science and Engineering, 2023
In this paper, multiple autonomous underwater vehicle (multi-AUV) formation control with obstacle avoidance ability in 3D complex underwater environments based on an event-triggered model predictive control (EMPC) is proposed.
Linling Wang, Xiaoyan Xu, Bing Han, Huapeng Zhang   +3 more
doaj   +1 more source

FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets

Journal of Field Robotics, EarlyView.
ABSTRACT Visibility underwater is challenging and degrades as the distance between the subject and the camera increases. That is why forward‐looking underwater computer vision tasks are difficult. We have collected underwater forward‐looking stereovision and visual–inertial image sets using two underwater imaging platforms, a stereo camera rig, and an ...
Yelena Randall, Ori Lifschitz, Tali Treibitz   +2 more
wiley   +1 more source

Added Resistance of an AUV Moving Inside a Water Pipeline Due to Wall Proximity

International Journal of Maritime Technology, 2015
This paper evaluates the added resistance of a torpedo shape AUV, moving inside a water pipeline, due to wall effects within the tube. Today, there are long length pipelines of water or petroleum that need to regular inspection.
Mohammad Moonesun, Yuri Mikhailovich Korol, Hosein Dalayeli, Asghar Mahdian, Anna Brazhko   +4 more
doaj  

Studies on situation reasoning approach of autonomous underwater vehicle under uncertain environment

CAAI Transactions on Intelligence Technology, 2021
The purpose of this study is to provide a situation reasoning module for autonomous underwater vehicle (AUV), to make decision‐making agents know what is the current situation, what needs to be done in the present situation, and what is the risk of task ...
Lili Yin, Deyun Chen, Hengwen Gu, Ning Guan, Rubo Zhang, Handan Hou   +5 more
doaj   +1 more source

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti, Saverio Iacoponi, Saif Alameri, Mohamed El Hanbaly, Mohammed Tarnini, Cesare Stefanini, Giulia De Masi, Federico Renda   +7 more
wiley   +1 more source

Hybrid Adaptive Neural Network AUV controller design with Sliding Mode Robust Term

International Journal of Maritime Technology, 2017
This work addresses an autonomous underwater vehicle (AUV) for applying nonlinear control which is capable of disturbance rejection via intelligent estimation of uncertainties. Adaptive radial basis function neural network (RBF NN) controller is proposed
Behdad Geranmehr, Kamran Vafaee
doaj  

Dumpsite Seabed Characterization of the San Pedro Basin, CA, From Autonomous Vehicle Observations

Journal of Field Robotics, EarlyView.
ABSTRACT A wide‐area seabed survey was conducted using autonomous underwater vehicles (AUVs) in a known dumpsite off the coast of Southern California that has been found to have widespread sediment contamination from the chemical dichlorodiphenyltrichloroethane (DDT).
Ryan A. McCarthy, Dylan Kriegman, Sophia T. Merrifield, Heidi Batchelor, Eric J. Terrill   +4 more
wiley   +1 more source

Distributed three-dimensional affine formation maneuver control for multiple autonomous underwater vehicles

Zhongguo Jianchuan Yanjiu
ObjectivesTo improve the ability of autonomous underwater vehicle (AUV) formations to perform tasks in complex obstacle scenarios, a distributed three-dimensional affine formation shape maneuver control method is proposed for multi-AUV formations ...
Mingqi YAO, Lin YU, Kai GUO, Yu LU, Lei QIAO   +4 more
doaj   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas

Remote Sensing in Ecology and Conservation, EarlyView.
Seabed landers, when equipped with a range of biotic and abiotic sensors, offer a non‐invasive and cost‐effective solution for ecosystem‐scale monitoring of Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs) in dynamic shallow seas.
Arienne Calonge, Roeland Develter, Carlota Muñiz, Clea Parcerisas, Jan Reubens, Wieter Boone, Klaas Deneudt, Elisabeth Debusschere   +7 more
wiley   +1 more source