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A Robotized Raspberry-Based System for Pothole 3D Reconstruction and Mapping.

Salvatore Bruno¹, Giuseppe Loprencipe¹, Paola Di Mascio¹

¹Department of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.

Sensors (Basel, Switzerland)

|July 14, 2023

Summary

This summary is machine-generated.

This study introduces a low-cost system using photogrammetry and a Raspberry Pi robot to monitor road potholes, improving urban road maintenance and safety for road users and workers.

Keywords:

GIS technologies Raspberry Pi autonomous robot digital photogrammetry processing software low-cost sensors pavement potholes road surface monitoring and maintenance safety at work urban road networks

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Area of Science:

Civil Engineering
Robotics
Geomatics

Background:

Pothole repair is crucial for municipalities to prevent road user injuries and vehicle damage.
Existing road maintenance methods can expose workers to traffic hazards and lack automation.
Accurate pothole monitoring is essential for efficient urban road management.

Purpose of the Study:

To develop a low-cost, high-performance system for monitoring urban road potholes.
To automate pothole detection and data collection, enhancing worker safety.
To provide detailed pothole information for effective road maintenance planning.

Main Methods:

Utilized photogrammetry techniques with a Raspberry Pi camera to create 3D pothole models.
Integrated the system onto an autonomous robot for remote data collection, reducing human exposure to traffic.
Employed Global Positioning System (GPS) and Geographical Information System (GIS) for mapping pothole data.

Main Results:

Successfully generated 3D pothole models and accurately predicted shape and volume using photogrammetry.
Validated system performance through laboratory tests and ten on-site trials in uncontrolled environments.
Demonstrated the system's capability to map potholes with location, volume, and image data.

Conclusions:

The developed system offers a valuable, cost-effective solution for road pothole monitoring.
Automation and remote operation significantly enhance safety for survey workers.
The system contributes to improved urban road maintenance strategies and infrastructure management.