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.

Papers


Paper Code Results Date Stars

Dataset Loaders


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

Tasks


License


Modalities


Languages