Supporting Data for 'HyperAOE': Filtered POI Types and Processed OpenStreetMap POIs

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Authors: Jonas Stickel
Cited by: 0

Abstract

This Zenodo record provides supporting data for the paper HyperAOE: Generalizing Zero-Shot Cross-City Trajectory Prediction with Hypernetworks and the corresponding GitHub project. It contains two .npy files: osm_poi_categories.npy, an array of OpenStreetMap POI types selected and used in the experiments reported in the paper. osm_poi_maps_us.npy, an example of processed and spatially arranged OpenStreetMap POI data generated using the filtered categories. The file contains the POI data for five selected US cities: Washington D.C., San Francisco, Miami, Seattle, and New York City. These files are intended to accompany the project's code release, available at: https://github.com/DLR-Prot-of-Terrestrial-Infrastructures/HyperAOE For usage instructions, please refer to the GitHub repository.

Fields of Study & Subjects

Data Management and Algorithms Traffic Prediction and Management Techniques Autonomous Vehicle Technology and Safety

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 January 2026
Document type
Dataset