English(EN) UrbanVGGT: Scalable Sidewalk Width Estimation from Street View Images

新方法从街景图像估算车道宽度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-21 04:00

研究人员开发了UrbanVGGT，一种使用街景图像估算车道宽度的新方法。该方法结合了语义分割、3D重建和比例校准来测量车道尺寸。在华盛顿特区数据集上测试，UrbanVGGT实现了0.252米的平均绝对误差，超过95%的估算值在地面真实值的0.50米以内。该方法还应用于三个城市，创建了一个原型车道宽度数据集，展示了其大规模城市规划数据生成的潜力，但仍需进一步验证。 AI

影响这项研究可以实现城市规划数据的可扩展生成，改善可达性和网络质量评估。

排序理由该集群包含一篇详细介绍新方法论和数据集的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Kaizhen Tan, Fan Zhang · 2026-08-21 04:00

UrbanVGGT：街景图像中的可扩展人行道宽度估算

arXiv:2603.22531v2 Announce Type: replace Abstract: 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-resolu…

本文如何被排名

报道来源 [1]

UrbanVGGT：街景图像中的可扩展人行道宽度估算

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