NMEA 0183 - for communication between marine electronics such as echo sounder, sonars, anemometer, gyrocompass, autopilot, GNSS receivers and many other types of instruments. Defined and controlled by the National Marine Electronics Association (NMEA)

[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning

[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning

Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment

An all-weather, day-and-night, collision avoidance simulator that can be implemented as a digital twin for the autonomous COLREG-compliant navigation of maritime vessels.

An Exemplar for Self-Adaptive Underwater Vehicles performing pipeline inspection

Source Code for "DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization", IROS 2020

Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision

[ICASSP 2025] Python implementation of the paper "USV-AUV Collaboration Framework for Underwater tasks under Extreme Sea Conditions"."

Deep learning-based diver detection and tracking modules. #RAL2018 #ICRA2019

[RA-L] Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles

Fossen's Marine Systems Simulator

Code for our paper "AUTO-IceNav: A Local Navigation Strategy for Autonomous Surface Ships in Broken Ice Fields".

Core packages of the medusa stack

This repository presents OpenFish-Edu, a simplified version of OpenFish(https://osf.io/gsnc2/), used for educational purposes. The repo contains necessary design and fabrication files for building the OpenFish-Edu. This is first used by HKUST ISDN2400 Physical Prototyping course.

Object detection and tracking of bouy with BlueROV in varying degrees of freedom in an underwater scenario.

The Research Sinker Probe 1 is an intelligent marine probe intended to do various scientific tasks like visual inspections and collect water and sediment samples

The work presents an examination of the fluid dynamics associated with marine vehicles and strives to create highly accurate simulations and visual representations of these dynamics. It encompasses a thorough review of the state of the art, methodology for simulation and visualization and preliminary results.

This repository is a part of the master thesis at the Faculty of Electrical Engineering and Computing, University of Zagreb, Laboratory for Underwater Systems and Technologies. The main goal is to develop a Path-Planning module for autonomous vessels.

Codes for our paper "Autonomous Navigation in Ice-Covered Waters with Learned Predictions on Ship-Ice Interactions"