Active Learning for UAV-based Semantic Mapping

16 Dec 2019 Blum Hermann Rohrbach Silvan Popovic Marija Bartolomei Luca Siegwart Roland

Unmanned aerial vehicles combined with computer vision systems, such as convolutional neural networks, offer a flexible and affordable solution for terrain monitoring, mapping, and detection tasks. However, a key challenge remains the collection and annotation of training data for the given sensors, application, and mission... (read more)

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  • ROBOTICS