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    • Refining urban morphology: An explainable machine learning method for estimating footprint-level building height
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Vision2Slope: estimating urban road slopes with street view imagery

Apr 1, 2026 · 1 min read

A project to build a Vision2Slope framework. The framework is designed to estimate urban road slopes with street view imagery. The framework is based on computer vision techniques and is designed to be scalable and cost-effective. Code is available at GitHub.

Last updated on Apr 1, 2026
Road Slope Street View Imagery
Yang Chen
Authors
Yang Chen
Ph.D Student

Deep-Time Digital Earth Geomorphology Project May 1, 2022 →

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