Generalizable active mapping in complex unknown environments remains a critical challenge for mobile robots. Existing methods, constrained by insufficient training data and conservative exploration ...
Abstract: Discrete chaotic systems based on memristors exhibit excellent dynamical properties and are more straightforward to implement in hardware, making them highly suitable for generating ...
Abstract: Accurate and timely mapping of different crop types holds significant importance for food security and crop management at regional and global levels. This letter proposes a novel 3-D-crop ...
Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...
From the latest skyscraper in a Chinese megalopolis to a six‑foot‑tall yurt in Inner Mongolia, researchers at the Technical University of Munich claim they have created a map of all buildings ...
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