A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles

L Trinh, S Mercelis, A Anwar - arxiv preprint arxiv:2412.01461, 2024 - arxiv.org
Unmanned Surface Vehicles (USVs) have emerged as a major platform in maritime
operations, capable of supporting a wide range of applications. USVs can help reduce labor …

Boundary enhancement-driven accurate semantic segmentation networks for unmanned surface vessels in complex marine environments

L Zhang, X Sun, Z Li, D Kong, J Liu… - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Semantic segmentation of complex marine environments based on images is crucial for the
autonomous navigation of unmanned surface vessels (USVs). However, existing semantic …

Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking

M Elmezain, LS Saoud, A Sultan, M Heshmat… - IEEE …, 2025 - ieeexplore.ieee.org
Underwater computer vision plays a vital role in ocean research, enabling autonomous
navigation, infrastructure inspections, and marine life monitoring. However, the underwater …

[HTML][HTML] Reliable LiDAR-based ship detection and tracking for Autonomous Surface Vehicles in busy maritime environments

Y **e, C Nanlal, Y Liu - Ocean Engineering, 2024 - Elsevier
Environmental perception is a crucial requirement of Autonomous Surface Vehicles (ASVs) if
required to perform tasks safely in a dynamically complex operational environment. Most …

Event-triggered model-free adaptive sliding-mode heading control for unmanned surface vehicles under DoS attacks

Y Chen, H Zhao, D Xu, H Yu - Applied Ocean Research, 2024 - Elsevier
This article investigates event-triggered model-free adaptive sliding-mode heading control
issues for unmanned surface vehicles with dual-channel denial of service (DoS) attacks and …

Strengthening energy transition through effective urban electric demand prediction: A multidisciplinary exploration of AI, policy, and administrative strategies

Q Chang, J Wu, Y Zhang - Sustainable Cities and Society, 2024 - Elsevier
This research endeavors to strengthen energy transition in urban management through the
enhanced accuracy of electric load demand forecasting within a multi-faceted approach …

[HTML][HTML] Semi-supervised learning network for deep-sea nodule mineral image segmentation

Z Ding, C Liu, X Wang, G Ma, C Cao, D Li - Applied Ocean Research, 2025 - Elsevier
The accurate segmentation of deep-sea nodule mineral images is crucial for scientific
mining. However, due to the low contrast of deep-sea images and the varying sizes of …

[PDF][PDF] Comparison of algorithms for the detection of marine vessels with machine vision

J Rodríguez-Gonzales, J Niquin-Jaimes… - International Journal of …, 2024 - academia.edu
The detection of marine vessels for revenue control has many tracking deficiencies, which
has resulted in losses of logistical resources, time, and money. However, digital cameras are …

[PDF][PDF] Development of Image Manipulation Algorithms UsingHSV Model: Histogram Analysis, Contour Detection andControl Brightness-Contrast

B efendi Lubis, A Danuyasa… - Novice Research …, 2024 - eksplorasi.org
In the era of computers and the Internet, image processing has become anintegral part of
many scientific and technical applications, including medicine, pattern recognition, and …