A GPS-to-image pipeline with a Siamese network is proposed for detecting partial co-walking events, reporting F1 up to 0.73 on a private dataset.
Self-supervised human mobility learning for next location prediction and trajectory classification
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Pairwise Spatiotemporal Partial Trajectory Matching for Co-movement Analysis
A GPS-to-image pipeline with a Siamese network is proposed for detecting partial co-walking events, reporting F1 up to 0.73 on a private dataset.