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CORDIS

PAVEment SCANning with EGNSS Technology for Accurate Assessment

Project description

The future of low-cost, high-accuracy, roadway pavement assessment

Deteriorating roadway pavements pose significant safety hazards and financial burdens worldwide. Cracks, potholes, and other surface anomalies not only endanger motorists but also strain infrastructure budgets. Traditional inspection methods are often costly, time-consuming and unable to provide continuous monitoring. In this context, the EU-funded PAVE-SCAN project offers a solution. By integrating EGNSS-based sensors with AI-driven software, the project's developed technology cost efficiently detects, classifies and georeferences pavement anomalies. This technology enables real-time assessment and monitoring, enhancing transport infrastructure safety and efficiency. PAVE-SCAN uses participatory sensing to transform probe-vehicles and buses into data-collection tools for crowd-sourced analysis. The technology's potential to revolutionise pavement assesment and pavement management systems underlines its disruptive impact on the transport and infrastructure industries.

Objective

The proposed project aims for the development to market (TRL8-9) of EGNSS-based integrated low-cost sensor technologies and artificial-intelligence-driven open-architecture software solution (machine learning (ML) and machine vision (MV)), for the detection, classification, and georeferencing of roadway pavement surface anomalies and for the low-cost assessment of roadway pavements using participatory sensing. The proposed system is of practical importance since it provides continuous information about roadway pavement surface anomalies which are valuable for efficiently monitoring the transport infrastructure and for public safety. The vision for roadway condition assessment by utilization of smartphone-like technology is set in parallel with the hypothesis that such technology can be used for crowd-sourced data collection and analysis in GIS-based pavement management systems (PMS), and that the developed technology and related transport informatics are disruptive technologies that have the potential to reshape the transport and infrastructure O&M industries through the project objectives discussed in the proposal.

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Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

(opens in new window) HORIZON-EUSPA-2022-SPACE

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Coordinator

UNIVERSITY OF CYPRUS
Net EU contribution
€ 381 250,00
Address
AVENUE PANEPISTIMIOU 2109 AGLANTZI
1678 Nicosia
Cyprus
Region
Κύπρος Κύπρος Κύπρος
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 381 250,00

Participants (12)