Pothole Detection Robot Using Raspberry PI

The city is responsible for maintaining the ponds to prevent accidents and vehicle damage. This study demonstrates a cost-effective and effective way to monitor and control the city. The authors developed a method to estimate the shape and size of pits using photogrammetry techniques. They used a Raspberry Pi Camera Module 3 connected to a Raspberry Pi 4 Model B to capture overlapping 2D images and used them to create a 3D model of the lake. The Raspberry-based setup was mounted on a robot and was created as part of the Infrared European project to reduce risks for workers and automate the measurement process. The accuracy of the photogrammetry software results was verified by testing asphalt shingles simulating real potholes. The system integrates with Global Positioning System (GPS) and Geographic Information System (GIS) technology to map locations on the ground, providing information about their location, size and data behind the accompanying images. Ten field tests showed that the system worked well in an uncontrolled environment but not in a controlled laboratory. The results show that the system is an important tool for road monitoring, prioritizing the health and safety of construction workers and road users.