Abstract

LEGRAMANTI, G. et al. Supervised classification of pathologies in asphalt pavements surface from a Remote Piloted Aircraft (RPA). Rev. ALCONPAT [online]. 2023, vol.13, n.3, pp.271-285.  Epub May 31, 2024. ISSN 2007-6835.  https://doi.org/10.21041/ra.v13i3.685.

Pathology identification is a routine activity in Pavement Management Systems (PMS) for decision-making about Maintenance and Rehabilitation (M&R) services. Traditional methods can be time-consuming, disrupt traffic, and cause accidents. This study evaluated pathologies on asphalt pavements using walking survey, manual classification of images from a Remotely Piloted Aircraft (RPA), and supervised classification. Manual classification resulted in 93.1% accuracy compared to 32.7% in supervised classification. The study concludes that the RPA can evaluate pathologies in asphalt pavements, providing time savings and safety.

Keywords : pavement; pavement management; pathologies; Remotely Piloted Aircraft; RPA.

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