Generalizable active mapping in complex unknown environments remains a critical challenge for mobile robots. Existing methods, constrained by insufficient training data and conservative exploration ...
A new approach is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening ...
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: Discrete chaotic systems based on memristors exhibit excellent dynamical properties and are more straightforward to implement in hardware, making them highly suitable for generating ...
A team of Germany-based researchers recently unveiled GlobalBuildingAtlas, which is likely the most detailed 3D map of ...
Map are updated on the fly when toggling comparing layers. Click on Stop button to end comparison. (1) Set the project CRS to be the same as compare layers to avoid CRS transformation. Setting the ...
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 ...
With the GlobalBuildingAtlas, a research team at the Technical University of Munich (TUM) has created the first high-resolution 3D map of all buildings worldwide. The open data provides a crucial ...
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