most citedUnifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2024★ 10 cited

Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments

Alberto García-Hernández, Riccardo Giubilato, Klaus H. Strobl +2

Perceptual aliasing and weak textures pose significant challenges to the task of place recognition, hindering the performance of Simultaneous Localization and Mapping (SLAM) system…