IPNL — Intelligent Positioning and Navigation Laboratory

UrbanNav Dataset

dataset MIT

UrbanNav provides multisensory data collected in Hong Kong’s dense urban canyons, including GNSS raw measurements, IMU, LiDAR, and camera data. It is designed to support reproducible benchmarking of urban navigation algorithms.

Repository: https://github.com/IPNL-POLYU/UrbanNavDataset

Citation: Hsu, L. T., et al. (2023). Hong Kong UrbanNav: An open-source multisensory dataset for benchmarking urban navigation algorithms. NAVIGATION.