Related papers: SurfaceAI: Automated creation of cohesive road surface quality datasets based on open street-level imagery

SurfaceAI: Automated creation of cohesive road surface quality datasets based on open street-level imagery

URL: http://arxiv.org/abs/2409.18922v1
Date: Fri, 27 Sep 2024 17:13:25 GMT
Title: SurfaceAI: Automated creation of cohesive road surface quality datasets based on open street-level imagery
Authors: Alexandra Kapp, Edith Hoffmann, Esther Weigmann, Helena Mihaljević,
Abstract summary: SurfaceAI generates comprehensive georeferenced datasets on road surface type and quality from openly available street-level imagery. The motivation stems from the significant impact of road unevenness on the safety and comfort of traffic participants.
Score: 41.94295877935867
License: http://creativecommons.org/licenses/by/4.0/
Abstract: This paper introduces SurfaceAI, a pipeline designed to generate comprehensive georeferenced datasets on road surface type and quality from openly available street-level imagery. The motivation stems from the significant impact of road unevenness on the safety and comfort of traffic participants, especially vulnerable road users, emphasizing the need for detailed road surface data in infrastructure modeling and analysis. SurfaceAI addresses this gap by leveraging crowdsourced Mapillary data to train models that predict the type and quality of road surfaces visible in street-level images, which are then aggregated to provide cohesive information on entire road segment conditions.

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