Palin, Damian;
Schaefer, Samuel;
d’Avigneau, Alix Marie;
Xu, Jie;
Hadjidemetriou, Georgios M;
Ambrose, Michael;
Al-Tabbaa, Abir;
... Thuruthel, Thomas George; + view all
(2026)
Autonomous Maintenance of Highway Pavements: A Framework Aiming toward Implementation.
Journal of Construction Engineering and Management
, 152
(3)
, Article 03126001. 10.1061/jcemd4.coeng-16623.
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Abstract
Autonomous highway pavement maintenance promises enhanced safety, cost savings and environmental benefits, but its practical deployment is unrealized. Drawing on public, academic, and industrial data sets, and supported by the research literature, we propose a framework for a fully autonomous maintenance vehicle (AMV). The framework includes: (1) critical tasks of self–driving and the autonomous inspection and repair of cracks and small potholes; (2) system architecture spanning sensing, perception and localization, planning, control, actuation, and communication for executing these tasks; and (3) end-to-end operational workflow linking the tasks. Future challenges and opportunities are discussed, including multimodal perception, precision material deposition, whole-life costings, updated standards, and workforce considerations. The intention of the framework is to help accelerate autonomous highway pavement maintenance toward safer, more resilient, and cost-effective highways.
| Type: | Article |
|---|---|
| Title: | Autonomous Maintenance of Highway Pavements: A Framework Aiming toward Implementation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1061/jcemd4.coeng-16623 |
| Publisher version: | https://doi.org/10.1061/jcemd4.coeng-16623 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10220178 |
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