A curated list of AI, machine learning, computer vision, and autonomy resources for unmanned aerial vehicles (UAVs), drones, quadcopters, and aerial robotics.
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Updated
May 5, 2026 - Python
A curated list of AI, machine learning, computer vision, and autonomy resources for unmanned aerial vehicles (UAVs), drones, quadcopters, and aerial robotics.
AeroVision-AI is an advanced aerial intelligence system for real-time vehicle detection, tracking, and analytics from drone footage. Built with YOLOv8, Streamlit, and OpenCV, it offers live inference visualization, CSV-based analytics, dynamic watermarking, and video export, a production-grade showcase of computer vision in motion.
Drone autonomy powered by Generative AI (HuggingFace smolagents + Google Gemini)
Thunders-AI is a high-performance, modular framework designed to orchestrate and deploy artificial intelligence models at scale. Built for speed and flexibility, it allows developers to integrate complex AI workflows into their applications with minimal boilerplate.
Real-time drone AI with instant alignment scoring and multi-agent path finding for safe, adaptive flight.
A drone AI trained using reinforcement learning, specificially using an Actor Critic network
AITL構想に基づく国家レベルのAI×制御×物理統合設計に関する戦略提案書(教育・産業・防災対応) National-level strategic proposal for the AITL architecture: AI x Control x Physical integration for education, industry, and disaster resilience in Japan.
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