Parking Occupancy Estimation on Planetscope Satellite Images

This paper presents a method for estimating the occupancy ratio of parkings lots from satellite images. The algorithm takes as input a series of PlanetScope images along with a mask indicating where the parking is positioned and returns for each image an occupancy ratio. The method is generic, doesn't require any calibration and can easily be extended. For validating our results, we have created a PlanetScope image series dataset that associates each image to a ground occupancy ratio. This ground truth is estimated thanks to a camera that permanently films and records the parking. We observe a strong correlation between the estimated occupancy rate and the ground truth occupancy rate. Qualitative analysis shows that our method correctly generalizes to other parkings.