UrbanVGGT: Scalable Sidewalk Width Estimation from Street View Images
Sidewalk width is an important indicator of pedestrian accessibility, comfort, and network quality, yet large-scale width data remain scarce in most cities. Existing approaches typically rely on costly field surveys, high-resolution overhead imagery, or simplified geometric assumptions that limit scalability or introduce systematic error. To address this gap, we present UrbanVGGT, a measurement pipeline for estimating metric sidewalk width from a single street-view image. The method combines semantic segmentation, feed-forward 3D reconstruction, adaptive ground-plane fitting, camera-height-based scale calibration, and directional width measurement on the recovered plane. On a ground-truth...
| Authors | Kaizhen Tan, Fan Zhang |
|---|---|
| Primary category | cs.CV |
| Published | 23 March 2026 |
| Last updated at source | 19 August 2026 |
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