Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications II 2024
DOI: 10.1117/12.3013736
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Method for training deep neural networks in vehicle detection using drone-captured data and background synthesis

Alexander Pichler,
Nicolas Hueber

Abstract: Deep neural network based military vehicle detectors pose particular challenges due to the scarcity of relevant images and limited access to vehicles in this domain, particularly in the infrared spectrum. To address these issues, a novel drone-based bi-modal vehicle acquisition method is proposed, capturing 72 key images from different view angles of a vehicle in a fast and automated way. By overlaying vehicle patches with relevant background images and utilizing data augmentation techniques, synthetic trainin… Show more

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