Abstract: In this letter, we tackle the challenge of predicting the unseen walls of a partially observed environment as a set of 2D line segments, conditioned on occupancy grids integrated along the ...

Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, complicated driving ...

Un-0 is an image-generation model built on Kuramoto dynamics: it generates an image by integrating the phase dynamics of a population of coupled oscillators — no diffusion schedule, no adversary, no ...

Abstract: Occupancy mapping is a fundamental component of robotic systems to reason about the unknown and known regions of the environment. This article presents an efficient occupancy mapping ...