Vision2Slope: estimating urban road slopes with street view imagery

Vision2Slope is an open framework that estimates urban road slopes from panoramic street view imagery using computer vision. It projects panoramas into road-aligned views, corrects camera-induced distortion, and derives point- and segment-level slope and relief.

The method is described in our paper in the International Journal of Geographical Information Science, and the code is available on GitHub.