Open source simulator for maritime robotics researchers
-
Updated
Jan 16, 2024 - Python
Open source simulator for maritime robotics researchers
A python framework to predict trajectories of vessels with machine learning algorithms, such as lstm, seq2seq, etc.
WaSR Segmentation Network for Unmanned Surface Vehicles v0.5
A PyTorch reimplementation of the WaSR obstacle segmentation model
Detecting automatic identification system (AIS) on-off switching anomalies, unusual turn detection, and deviation of trajectories of vessels.
Temporal WaSR-T model for maritime obstacle detection via semantic segmentation
Anomaly detection in maritime navigation with evidential deep learning based on graph-based clustering
A generator for synthetic container flows at maritime container terminals with a focus on yard operations
Scaffolded Learning Regime for training maritime obstacle detection networks
Evaluation scripts for the LaRS dataset
Cartographic Sounding Selection for ENCs
An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)
Simulation of transhipment logistics between 2 different locations to ascertain its timeliness in arrival. This project was inspired by a Simulation Project that i worked on as a Capacity Planner and Analyst at PSA Singapore.
The Equasis Data Fetcher is a Streamlit-based web application designed to retrieve and analyze maritime vessel information from the Equasis database. It offers functionalities for fetching detailed information about vessels and entire fleets, and it provides an interface for querying this data using natural language questions powered by OpenAI.
A simple app to display shipwreck locations in the New England area.
ViENOS App. App for checking el niño phenomenon on Tumaco. Colombia
Add a description, image, and links to the maritime topic page so that developers can more easily learn about it.
To associate your repository with the maritime topic, visit your repo's landing page and select "manage topics."