Anzeige
Erschienen in:
2020 | OriginalPaper | Buchkapitel
WalkSLAM: A Walking Pattern-Based Mobile SLAM Solution
verfasst von : Lin Ma, Tianyang Fang, Danyang Qin
Erschienen in: Communications, Signal Processing, and Systems
Verlag: Springer Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
In indoor localization scenarios, a sheer coordinate with respect to a basis is insufficient to indicate the users’ situation due to a lack of information about landmarks distributed in the environments. To extract landmarks’ information manually, however, is inefficient and thus vulnerable to changes of the environments. Simultaneous localization and mapping can solve the localization and landmarks’ information extracting problems. This paper presents WalkSLAM, a SLAM solution that estimates both the path taken by the user and the locations of Wi-fi devices in the indoor space, using a smartphone. This solution extends the previous work by introducing human walking patterns into the specific SLAM problem. Experiments demonstrate that the improvement consists of increased efficiency of the particle filter, and hence, of the overall algorithm, and a better estimation of the user’s location and path.