Results 61 to 70 of about 1,933 (217)
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 +10 more
wiley +1 more source
An AUV Target-Tracking Method Combining Imitation Learning and Deep Reinforcement Learning
This study aims to solve the problem of sparse reward and local convergence when using a reinforcement learning algorithm as the controller of an AUV.
Yubing Mao +3 more
doaj +1 more source
Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves [PDF]
Advances in the fields of autonomy software and environmental sampling techniques for autonomous underwater vehicles (AUVs) have recently allowed for the merging of oceanographic data collection with the testing of emerging marine technology.
Petillo, Stephanie, Schmidt, Henrik
core +1 more source
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 +7 more
wiley +1 more source
The multi-autonomous underwater vehicle (AUV) distributed task allocation model of a contract net, which introduces an equilibrium coefficient, has been established to solve the multi-AUV distributed task allocation problem.
Li Jianjun, Zhang Ru Bo
doaj +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source
A real-time obstacle avoidance method for multi-AUV cluster based on artificial potential field
[Objectives] This paper proposes a real-time obstacle avoidance method based on artificial potential field,in order to cope with the many potential obstacles in complex underwater environment which affects the movement plan for multi-autonomous ...
XU Bo, ZHANG Jiao, WANG Chao
doaj +1 more source
Design and Motion Performance Analysis of Turbulent AUV Measuring Platform
The use of a multi-functional autonomous underwater vehicle (AUV) as a platform for making turbulence measurements in the ocean is developed. The layout optimization of the turbulence package and platform motion performance are limitation problems in ...
Yunli Nie +4 more
doaj +1 more source
Autonomous navigation with constrained consistency for C-Ranger [PDF]
Autonomous underwater vehicles (AUVs) have become the most widely used tools for undertaking complex exploration tasks in marine environments. Their synthetic ability to carry out localization autonomously and build an environmental map concurrently, in ...
He, Bo +4 more
core
Stabilization of planar collective motion: All-to-all communication [PDF]
This paper proposes a design methodology to stabilize isolated relative equilibria in a model of all-to-all coupled identical particles moving in the plane at unit speed.
Leonard, Naomi Ehrich +2 more
core +1 more source

