Leveraging Semi-Supervised Novelty Detection to Enhance Ultra-Wideband Localization Reliability in Dynamic Environments

This work proposes a semi-supervised novelty detection methodology to precisely characterize and predict Ultra-Wideband (UWB) error within a specific environment, enabling reliable robot localization in dynamic settings.