Early Recall, Late Precision: Multi-Robot Semantic Object Mapping under Operational Constraints in Perceptually-Degraded Environments

no code implementations • 21 Jun 2022 • Xianmei Lei, Taeyeon Kim, Nicolas Marchal, Daniel Pastor, Barry Ridge, Frederik Schöller, Edward Terry, Fernando Chavez, Thomas Touma, Kyohei Otsu, Ali Agha

Semantic object mapping in uncertain, perceptually degraded environments during long-range multi-robot autonomous exploration tasks such as search-and-rescue is important and challenging.

Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes

no code implementations • 1 Aug 2019 • Nicolas Marchal, Charlotte Moraldo, Roland Siegwart, Hermann Blum, Cesar Cadena, Abel Gawel

Foreground objects are therefore detected as areas in an image for which the descriptors are unlikely given the background distribution.

Scene Understanding Semantic Segmentation