A suite of algorithms for learning-aided mapping. Includes implementations of Gaussian process regression and Bayesian generalized kernel inference for occupancy prediction using test-data octrees. A ...

Abstract: Effective robot manipulation requires a vision system which can extract features of the environment which determine what manipulation actions are possible. There is existing work in this ...

Dot Physics Pi Day Python; How to create this irrational Pi Animation Posted: May 23, 2025 | Last updated: May 23, 2025 Physics and Python stuff. Most of the videos here are either adapted from ...

Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing ...

However, beyond the plot and characters, the series exudes uniqueness due to its interesting blend of 3D and 2D animation styles. While it's unclear whether the shift in animation relates to the ...

We propose a CNN-based 3D-Spectral Spatial Feature Network (3D-S2FN ... generating a graph attention map (GRAM). This GRAM is applied to the CNN’s intermediate features to mitigate neighborhood bias.

Ecopia AI, in collaboration with Nearmap, has made off-the-shelf 3D land cover mapping data available for the 400 largest cities in the USA. The data supports the creation of digital twins for civil ...