RISEdb (Robust Indoor Localization in Complex Scenarios (RISE) database)

Introduced by Sanchez-Belenguer et al. in RISEdb: a Novel Indoor Localization Dataset

The RISE (Robust Indoor Localization in Complex Scenarios) dataset is meant to train and evaluate visual indoor place recognizers. It contains more than 1 million geo-referenced images spread over 30 sequences, covering 5 heterogeneous buildings. For each building we provide: - A high resolution 3D point cloud (1cm) that defines the localization reference frame and that was generated with a mobile laser scanner and an inertial system. - Several image sequences spread over time with accurate ground truth poses retrieved by the laser scanner. Each sequence contains both, stereo pairs and spherical images. - Geo-referenced smartphone data, retrieved from the standard sensors of such devices.


Paper Code Results Date Stars

Dataset Loaders

No data loaders found. You can submit your data loader here.