Data-driven approach for AUV navigation
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Updated
Jul 24, 2022 - Python
Data-driven approach for AUV navigation
OceanGym: A Benchmark Environment for Underwater Embodied Agents
Learning Missing Doppler Velocity Log Beam Measurements
This GitHub repository serves as a valuable resource for researchers, developers, and enthusiasts working with AUVs, providing a range of image processing algorithms and tools tailored to enhance visual perception and analysis in underwater scenarios.
C++ Simulator and ROS 2 Node for Ultra-Short Baseline Systems (USBL).
C++ Simulator and ROS 2 Node for Inertial Measurement Units.
C++ Simulator and ROS 2 Node for Magnetometers (MAG).
This repository is the code for the paper "Glocal trajectory generation and tracking control for autonomous underwater vehicles with optimal coverage sensor networks"
A C-language API with tools for raster data including geophysical applications and digital elevation models
C++ Simulator and ROS 2 Node for Doppler-Velocity Log (DVL).
Fine-tuned BERT-based model for classifying underwater objects from textual descriptions into man-made, spherical, or natural categories.
C++ Module and ROS 2 Node that reads in Trajectory from CSV files and publishes to ROS 2.
Simple C++ Simulator and ROS 2 Node for GNSS.
A NextJS app to easily define a region of interest for an AUV to map, and visualize the coverage path plan thereof
C++ Simulator and ROS 2 Node for Depth Pressure Sensor (DPTH).
C++Driver and ROS 2 Node for KELLER Series 10LHPX Pressure Transmitter (Depth Sensor).
Simulation of variable blade geometries and braking strategies for the advancement of an AUV
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