A Robotized Raspberry-Based System for Pothole 3D Reconstruction and Mapping Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3390/s23135860
Repairing potholes is a task for municipalities to prevent serious road user injuries and vehicle damage. This study presents a low-cost, high-performance pothole monitoring system to maintain urban roads. The authors developed a methodology based on photogrammetry techniques to predict the pothole’s shape and volume. A collection of overlapping 2D images shot by a Raspberry Pi Camera Module 3 connected to a Raspberry Pi 4 Model B has been used to create a pothole 3D model. The Raspberry-based configuration has been mounted on an autonomous and remote-controlled robot (developed in the InfraROB European project) to reduce workers’ exposure to live traffic in survey activities and automate the process. The outputs of photogrammetry processing software have been validated through laboratory tests set as ground truth; the trial has been conducted on a tile made of asphalt mixture, reproducing a real pothole. Global Positioning System (GPS) and Geographical Information System (GIS) technologies allowed visualising potholes on a map with information about their centre, volume, backfill material, and an associated image. Ten on-site tests validated that the system works in an uncontrolled environment and not only in the laboratory. The results showed that the system is a valuable tool for monitoring road potholes taking into account construction workers’ and road users’ health and safety.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23135860
- https://www.mdpi.com/1424-8220/23/13/5860/pdf?version=1687688152
- OA Status
- gold
- Cited By
- 14
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382135989
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4382135989Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s23135860Digital Object Identifier
- Title
-
A Robotized Raspberry-Based System for Pothole 3D Reconstruction and MappingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-24Full publication date if available
- Authors
-
Salvatore Bruno, Giuseppe Loprencipe, Paola Di Mascio, Giuseppe Cantisani, Nicola Fiore, Carlo Polidori, Antonio D’Andrea, Laura MorettiList of authors in order
- Landing page
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https://doi.org/10.3390/s23135860Publisher landing page
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https://www.mdpi.com/1424-8220/23/13/5860/pdf?version=1687688152Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/23/13/5860/pdf?version=1687688152Direct OA link when available
- Concepts
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Pothole (geology), Photogrammetry, Global Positioning System, Raspberry pi, Process (computing), Engineering, Transport engineering, Computer science, Artificial intelligence, Embedded system, Telecommunications, Geology, Internet of Things, Operating system, PetrologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 7Per-year citation counts (last 5 years)
- References (count)
-
45Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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