Shypd.aiThe largest open index of AI toolsPULP-Dronet is a deep learning-powered visual navigation engine that enables autonomous navigation for pocket-size quadrotors. It runs on the PULP platform, allowing drones to explore environments and avoid obstacles independently.
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PULP-Dronet is an open-source, deep learning-powered visual navigation engine designed to enable autonomous navigation for pocket-size quadrotors. It allows nano-drones to explore environments and avoid dynamic obstacles without human intervention, external signals, or remote computation. The system comprises both software, based on the DroNet convolutional neural network, and hardware components, including a Parallel Ultra-Low-Power (PULP) GAP8 System-on-Chip (SoC) and an ultra-low power camera. The project has evolved through several versions, optimizing for reduced memory footprint, faster inference times, and lower power consumption, making it suitable for resource-constrained nano-UAVs. It also includes methodologies for dataset collection and automated deployment of DNNs.
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