mlsanityData to 14 Oct 2026

Automating Infrastructure Surveying: A Framework for Geometric Measurements and Compliance Assessment Using Point Cloud Data

arXiv 2505.05752 ↗First posted 9 May 2025cs.CV cs.CY cs.LGcited by 0

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Abstract (arXiv)

Automation can play a prominent role in improving efficiency, accuracy, and scalability in infrastructure surveying and assessing construction and compliance standards. This paper presents a framework for automation of geometric measurements and compliance assessment using point cloud data. The proposed approach integrates deep learning-based detection and segmentation, in conjunction with geometric and signal processing techniques, to automate surveying tasks. As a proof of concept, we apply this framework to automatically evaluate the compliance of curb ramps with the Americans with Disabilities Act (ADA), demonstrating the utility of point cloud data in survey automation. The method leverages a newly collected, large annotated dataset of curb ramps, made publicly available as part of this work, to facilitate robust model training and evaluation. Experimental results, including comparison with manual field measurements of several ramps, validate the accuracy and reliability of the proposed method, highlighting its potential to significantly reduce manual effort and improve consistency in infrastructure assessment. Beyond ADA compliance, the proposed framework lays the groundwork for broader applications in infrastructure surveying and automated construction evaluation, promoting wider adoption of point cloud data in these domains. The annotated database, manual ramp survey data, and developed algorithms are publicly available on the project's GitHub page: https://github.com/Soltanilara/SurveyAutomation.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 22 of its 63 references that are in the map. First posted on arXiv 9 May 2025.

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22 of 63 references.

References · 22

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10 more
  1. 2018PointCNN: Convolution On X-Transformed Pointscited by 764
  2. 2019Deep Hough Voting for 3D Object Detection in Point Cloudscited by 648
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  10. 2025Design and Implementation of a Dual Uncrewed Surface Vessel Platform for Bathymetry Research under High-flow Conditionscited by 1

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