2021
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization
IROS 2021poster
Feature extraction plays an important role in visual localization. Unreliable features on dynamic objects or repetitive regions will interfere with feature matching and challenge indoor localization greatly. To address the problem, we propose a novel network, RaP-Net, to simultaneously predict regio…