Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds
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Abstract (arXiv)
Obstacles on the sidewalk often block the path, limiting passage and resulting in frustration and wasted time, especially for citizens and visitors who use assistive devices (wheelchairs, walkers, strollers, canes, etc). To enable equal participation and use of the city, all citizens should be able to perform and complete their daily activities in a similar amount of time and effort. Therefore, we aim to offer accessibility information regarding sidewalks, so that citizens can better plan their routes, and to help city officials identify the location of bottlenecks and act on them. In this paper we propose a novel pipeline to estimate obstacle-free sidewalk widths based on 3D point cloud data of the city of Amsterdam, as the first step to offer a more complete set of information regarding sidewalk accessibility.
Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 4 of its 13 references that are in the map. First posted on arXiv 8 Nov 2022.
Builds on
4 of 13 references.
References · 4
- 2019Deep Learning for 3D Point Clouds: A Surveycited by 557
- 2014A Survey of Multi-Objective Sequential Decision-Makingcited by 232
- 2021Automatic labelling of urban point clouds using data fusioncited by 6
- 2021Sidewalk Measurements from Satellite Images: Preliminary Findingscited by 3
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Citing papers per year: 2026: 1.
1 paper.