maritime
There are 76 repositories under maritime topic.
Liquid-ai/Plankton
Open source simulator for maritime robotics researchers
jvde-github/AIS-catcher-for-Android
Android AIS receiver for RTL SDR dongles, Airspy R2, Airspy Mini, Airspy HF+ and TCP (RTL-TCP and SpyServer). Output is send via UDP and visualized on the built-in map
nilsbore/auvlib
Modern C++ and python library for reading and processing sonar data
hakola/marine-traffic-modelling
Modelling marine traffic in the ice-covered Baltic Sea using AIS data
genthalili/searoute-py
A python package to calculate the shortest sea route between two points on Earth.
newzealandpaul/Shipping-Lanes
Global Shipping Lanes / Routes GIS Dataset
bborja/modd
Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment
sansastra/Trajectory-Prediction
A python framework to predict trajectories of vessels with machine learning algorithms, such as lstm, seq2seq, etc.
bborja/wasr_network
WaSR Segmentation Network for Unmanned Surface Vehicles v0.5
kaklin/sea-routes
Distances between ports (PUB151) in JSON format
lojzezust/WaSR
A PyTorch reimplementation of the WaSR obstacle segmentation model
Kystverket/IMO-Maritime-Single-Window
An IMO coordinated project developing a generic Maritime Single Window.
sansastra/Anomaly-Detection
Detecting automatic identification system (AIS) on-off switching anomalies, unusual turn detection, and deviation of trajectories of vessels.
lojzezust/WaSR-T
Temporal WaSR-T model for maritime obstacle detection via semantic segmentation
FATHOM5CORP/ais
Package ais provides types and methods for conducting data science on signals generated by maritime entities radiating from an Automated Identification System (AIS) transponder as mandated by the International Maritime Organization (IMO) for vessels over 300 gross tons and all passenger vessels.
maritimeconnectivity/IdentityRegistry
MCP (Maritime Connectivity Platform) Identity Registry API
sansastra/uncertainty_edl_graph
Anomaly detection in maritime navigation with evidential deep learning based on graph-based clustering
osrf/mbari_wec
Entrypoint to wave harvesting buoy
andreasgamborg/AutoDocking
Modelling and control of maritime vessels
1kastner/conflowgen
A generator for synthetic container flows at maritime container terminals with a focus on yard operations
Esri/nautical-chart-symbols
ArcGIS Maritime server sample Custom Symbology configuration to display ENC (Electronic Navigational Chart) data with INT1 chart symbols.
mariokonrad/vhf-sim
Simulation of a maritime VHF
AIMIP/TjuES57Map
天津大学电子海图控件/S-57 Electronic Chart Control developed by Tianjin University
lojzezust/SLR
Scaffolded Learning Regime for training maritime obstacle detection networks
lojzezust/lars_evaluator
Evaluation scripts for the LaRS dataset
maritimeconnectivity/MCPKeycloakSpi
EventProvider for Keycloak, used to sync user information to the Identity Registry API
NoelDyer/Sounding-Selection
Cartographic Sounding Selection for ENCs
WaterScenes/Awesome-Water-Surface-Perception
Collection of studies related to water surfaces
bytecrusher/MaritimeDataServer
MDS (Maritime Data Server) is the central data server for the Maritime Data.
Collen-Roller/flydenity
Aircraft Registration Prefix Dataset
ehabqadah/in-situ-processing-datAcron
A component within the datAcron EU project.
maritimeconnectivity/MCP-Portal
Management portal for MCP (Maritime Connectivity Platform)
NavisCarrierSolutions/BlueTracker.SDK.Performance
Wrapper for BlueTracker One public API.
t-recx/maritimo
Maritimo is a set of applications used to decode, persist and display AIS data
dfki-ric/uxo-dataset2024
An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)
mihnearad/Maritime-Intel-Pro
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.