LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects

no code implementations • 9 Jan 2023 • Ibrahim Hroob, Sergi Molina, Riccardo Polvara, Grzegorz Cielniak, Marc Hanheide

In this research, we present an end-to-end data-driven pipeline for determining the long-term stability status of objects within a given environment, specifically distinguishing between static and dynamic objects.

Classification regression