User-friendly, commercial-grade software for processing aerial imagery.
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Updated
Apr 2, 2026 - Python
User-friendly, commercial-grade software for processing aerial imagery.
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, ..)
A framework built on top of NVIDIA Isaac Sim for simulating drones with PX4 support and much more
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.
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
A universal flight control tuning framework
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.
UavNetSim: A Python-based simulation platform for designing and testing communication protocols and control algorithms in UAV swarm.
Autonomous UAV Navigation without Collision using Visual Information in Airsim
Quadcopter Simulation and Control. Dynamics generated with PyDy.
[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Ptera Software is a fast, easy-to-use, and open-source software package for analyzing flapping-wing flight.
UAV Flight Simulator for Reinforcement Learning Research
🔥 CVPR 2025 (Nashville TN) - The 4th Anti-UAV Workshop & Challenge 🥉
QGIS Full Motion Video (FMV)
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