STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Abstract: The accuracy of visual localization estimation heavily relies on the quality of input images and feature point extraction, with variations in illumination significantly impacting matching ...
Abstract: Simultaneous Localization and Mapping (SLAM) is a prominent research area in robotics. This paper presents a SLAM algorithm based on VINS-Fusion to address the challenge of estimating camera ...
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