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: Implicit Neural Representation (INR)-based SLAM has a critical issue where all keyframes must be stored in memory for post-training whenever a remapping is needed due to the neural network's ...
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 ...
From historic homes in Edinburgh to towering skyscrapers in Shanghai, you can now explore every building in the world from the comfort of your home. An incredible new map charts the location and size ...
The Edmonton Police Service (EPS) piloted a new technology in the fall that could track officers and pedestrians at underground LRT stations. Partnering with Esri Canada, and funded by a $1.3 million ...
Scientists have produced the most detailed 3D map of almost all buildings in the world. The map, called GlobalBuildingAtlas, combines satellite imagery and machine learning to generate 3D models for ...
The open-data GlobalBuildingAtlas is the first high-resolution 3D map of 2.75 billion buildings worldwide. Derived from satellite imagery by researchers at the Technical University of Munich (TUM), it ...
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