UAV Visual Localization
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Updated
Jul 3, 2025 - Python
UAV Visual Localization
A robust vision-based localization system for UAVs operating in GPS-denied environments. The system utilizes advanced computer vision techniques to achieve accurate position estimation by matching real-time drone camera feeds with satellite imagery.
Visual-intertial-odometry system for UAVs
An optimized 3D A*/Dijkstra path planner for UAVs. Features voxel-based grid search, 18-direction movement support, and heuristic-driven optimization for finding the mathematically shortest path in complex 3D obstacle fields.
An Augmented Grey Wolf Optimizer (AGWO) implementation for 3D path planning. This bio-inspired metaheuristic optimizes trajectories for UAVs and robotics in complex obstacle environments with adaptive recovery logic.
A project focused on constructing autonomous UAV navigation datasets for natural environments, leveraging generative AI to enhance and generate training data from images of Taiwan's roads and rivers.
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