PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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Updated
Jul 27, 2024 - Python
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
A universal flight control tuning framework
A framework built on top of NVIDIA Isaac Sim for simulating drones with PX4 support and much more
[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Quadcopter Simulation and Control. Dynamics generated with PyDy.
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Autonomous UAV Navigation without Collision using Visual Information in Airsim
Ptera Software is a fast, easy-to-use, and open-source software package for analyzing flapping-wing flight.
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
This Python-based simulation platform can realistically model various components of the UAV network, including the network layer, MAC layer and physical layer, as well as the UAV mobility model, energy model, etc. In addition, the platform can be easily extended to meet the needs of different users.
QGIS Full Motion Video (FMV)
Python implementation of the Cyphal protocol stack.
Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.
Python - Gazebo Simulation Environment for a UAV with Geometric Control
This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.
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