Robotic Maintenance of Road Infrastructures: The HERON Project
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Abstract (arXiv)
Of all public assets, road infrastructure tops the list. Roads are crucial for economic development and growth, providing access to education, health, and employment. The maintenance, repair, and upgrade of roads are therefore vital to road users' health and safety as well as to a well-functioning and prosperous modern economy. The EU-funded HERON project will develop an integrated automated system to adequately maintain road infrastructure. In turn, this will reduce accidents, lower maintenance costs, and increase road network capacity and efficiency. To coordinate maintenance works, the project will design an autonomous ground robotic vehicle that will be supported by autonomous drones. Sensors and scanners for 3D mapping will be used in addition to artificial intelligence toolkits to help coordinate road maintenance and upgrade workflows.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 May 2022.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1.
3 papers.
- 2023A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentationcited by 8
- 2022TraCon: A novel dataset for real-time traffic cones detection using deep learningcited by 4
- 2024Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairingcited by 1
- 2024Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing6 Feb 2024
- 2023A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation2 Mar 2023
- 2022TraCon: A novel dataset for real-time traffic cones detection using deep learning24 May 2022