BridgeScan · Laser Scanning for Automatic Bridge Assessment
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2019-01-01 → 2020-12-31
- EU contribution
- €177,599
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
Lines connect the coordinator with its partners.
Results in brief
Laser Scanning for Automatic Bridge Assessment
This project “Laser Scanning for Automatic Bridge Assessment” called BridgeScan proposes the framework to use laser scanning to acquire 3D topographic data points of bridges and to process data for bridge assessment purpose. This project will involve (i) investigate a flight path and scanning parameters to scan a bridge structure by UAV with an integrated laser scanning sensor, (ii) develop automatic, robust, efficient methods to process LiDAR data to identify structural deficiencies for bridge condition rating and (iii) develop automatic methods for reconstructing a 3D model of the bridge for bridge assessment based on finite element analysis (FEA). The project will bridge a new framework to inspect the bridge, which can overcome some shortcomings of a current workflow. Implementing the project would inspect the bridges with higher frequency and report any changes of the bridge timely. Moreover, the framework in extracting the point clouds of the bridge components would improve the current pipeline, which mostly relied on manual work. Finally, the proposed methods and outcome of the project can set as a fundamental framework for developing the framework for inspection and assessment of other infrastructures.
Data: CORDIS, © European Union
Project objective
Bridges on Europe’s transportation network are at risk due to increased freight demands, aging, environmental impact and climate change. Deficiencies of bridges must be assessed in a timely manner for planning critical maintenance, repairs and expansions. However, with bi-annual general inspections of bridges, damage may not be documented timely to prevent catastrophic collapse. Moreover, visual inspection is the predominant method that has many downsides: subjective results, slow and expensive procedures, high safety risks for inspectors and requirements of experienced inspectors, and traffic closures. Recently, although unmanned aerial vehicle (UAV)-based image has been developed for bridge inspection, results based UAV-images are of relatively low accuracy, which can be exaggerated when the images subject to shadows and noise. While several pieces of methods have been proposed to process data (both images and a point cloud), these approaches are not automatic, scalable and robust. Thus, to address those issues, the project “Laser Scanning for Automatic Bridge Assessment” called BridgeScan proposes the framework to use laser scanning integrated into UAV to acquire 3D topographic data points of bridges and to automatically process data for bridge assessment purpose. This project will involve (i) investigate a flight path and scanning parameters to scan a bridge structure by UAV with an integrated laser scanning sensor, (ii) develop automatic, robust, efficient methods to process laser scanning data to identify structural deficiencies for bridge condition rating and (iii) develop automatic methods for reconstructing a 3D bridge model for bridge assessment based on finite element analysis. Success of the BridgeScan project will be fundamental for further deploying UAV with laser scanning for monitoring and assessment of other infrastructures. Moreover, the proposed methods can be extended to reconstruct other objects for urban modelling and construction management.
Original text from CORDIS.
Participants
- TECHNISCHE UNIVERSITEIT DELFT · DelftCoordinatorNetherlands
Links
- View on CORDIS
- DOI: 10.3030/799149
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5cefd6246&appId=PPGMS
- https://sites.google.com/view/bridgescan
Data: CORDIS, © European Union