Shengwei-Peng/UAV-GenerativeAI-Navigation-Images
Generative AI for UAV Navigation in Natural Environments. This project utilizes GAN and Diffusion models to generate realistic images of roads and rivers from UAV perspectives.
This project helps operations teams or drone pilots simulate drone navigation by generating realistic images of roads and rivers from a drone's perspective. It takes labeled images (black-and-white maps indicating roads/rivers) and produces full-color, photorealistic drone imagery. This is useful for anyone who needs to train or test drone navigation systems without the cost and logistical challenges of flying real drones.
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Use this if you need a large volume of realistic drone-view images of terrain features like roads and rivers, but collecting real-world footage is too expensive or time-consuming.
Not ideal if your primary need is generating images of complex urban environments, specific landmarks, or diverse weather conditions beyond what basic drone footage typically covers.
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Language
Python
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Last pushed
Oct 31, 2024
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