Subgraph Learning for Topological Geolocalization with Graph Neural Networks
One of the challenges of spatial cognition, such as self-localization and navigation, is to develop an efficient learning approach capable of mimicking human ability. This paper proposes a novel approach for topological geolocalization on the map using motion trajectory and graph neural networks. Sp...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/11/5098 |