[HTML][HTML] On the use of synthetic data for body detection in maritime search and rescue operations
Time is a critical factor in maritime Search And Rescue (SAR) missions, during which
promptly locating survivors is paramount. Unmanned Aerial Vehicles (UAVs) are a useful …
promptly locating survivors is paramount. Unmanned Aerial Vehicles (UAVs) are a useful …
[HTML][HTML] Object Detection and Tracking in Maritime Environments in Case of Person-Overboard Scenarios: An Overview
F Hoehner, V Langenohl, S Akyol, O el Moctar… - Journal of Marine …, 2024 - mdpi.com
We examine the current state of the art and the related research on the automated detection
and tracking of small objects—or persons—in the context of a person-overboard (POB) …
and tracking of small objects—or persons—in the context of a person-overboard (POB) …
A High-Precision Detection Model of Small Objects in Maritime UAV Perspective Based on Improved YOLOv5
Object detection by shipborne unmanned aerial vehicles (UAVs) equipped with electro-
optical (EO) sensors plays an important role in maritime rescue and ocean monitoring …
optical (EO) sensors plays an important role in maritime rescue and ocean monitoring …
Maritime Search and Rescue Missions with Aerial Images: A Survey
The speed of response by search and rescue teams at sea is of vital importance, as survival
may depend on it. Recent technological advancements have led to the development of more …
may depend on it. Recent technological advancements have led to the development of more …
Efficient Oil Tank Detection Using Deep Learning: A Novel Dataset and Deployment on Edge Devices
M Rizk, A Chehade - IEEE Access, 2024 - ieeexplore.ieee.org
This paper investigates the usage of advanced deep learning (DL) approaches in detecting
oil storage tanks, which are widely used in the energy sector. It focuses on the evaluation of …
oil storage tanks, which are widely used in the energy sector. It focuses on the evaluation of …
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration
Detecting marine objects inshore presents challenges owing to algorithmic intricacies and
complexities in system deployment. We propose a difficulty-aware edge-cloud collaborative …
complexities in system deployment. We propose a difficulty-aware edge-cloud collaborative …
Enhancing Robustness of Human Detection Algorithms in Maritime SAR through Augmented Aerial Images to Simulate Weather Conditions
M Tjia, A Kim, EW Wijaya, H Tefara, K Zhu - arxiv preprint arxiv …, 2024 - arxiv.org
7,651 cases of Search and Rescue Missions (SAR) were reported by the United States
Coast Guard in 2024, with over 1322 SAR helicopters deployed in the 6 first months alone …
Coast Guard in 2024, with over 1322 SAR helicopters deployed in the 6 first months alone …
Machine Learning based Object Detection to Protect Marine Ecosystem
VB Prakash, D Shirisha, GS Reddy… - 2023 7th …, 2023 - ieeexplore.ieee.org
The majority of the earth's water bodies are currently contaminated. This occurs primarily as
a result of massive amounts of waste being dumped into it. The majority of the garbage is …
a result of massive amounts of waste being dumped into it. The majority of the garbage is …
Boat Detection and Classification Framework for Safety Improvement in Port Areas
The detection and classification of boats is an important issue that needs to be addressed to
improve safety in harbour areas. This paper presents a monitoring system based on multiple …
improve safety in harbour areas. This paper presents a monitoring system based on multiple …
Enhanced YOLOv8 Ship Detection Empower UnmannedSurface Vehicles for Advanced Maritime Surveillance
The evolution of maritime surveillance is sig-nificantly marked by the incorporation of
Artificial In-telligence and machine learning into Unmanned SurfaceVehicles (USVs). This …
Artificial In-telligence and machine learning into Unmanned SurfaceVehicles (USVs). This …