An Enhanced Seamless Localization Framework Using Spatial-temporal Uncertainty Predictor Under Obscured Indoor and Outdoor Scenes

Uncertainty modelling is regarded as one of the core components in the field of urban navigation, that can affect the performance of indoor and outdoor location information acquisition, especially under obscured scenarios. Existing multi-source fusion-based seamless positioning algorithms are subjec...

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Bibliographic Details
Main Authors: Y. Yu, S. Bai, J. Wang, K. Tang, S. Bao, L. Chen, R. Chen
Format: Article
Language:English
Published: Copernicus Publications 2024-10-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-annals.copernicus.org/articles/X-4-2024/493/2024/isprs-annals-X-4-2024-493-2024.pdf
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