Development of a Probabilistic Framework for Enhanced Vision Safety in Driver Assistance Systems

Abstract

Potholes on roads endanger public safety and infrastructure upkeep. This paper discusses the design and implementation of a real-time pothole detection system that employs a GPS module to locate potholes, a Raspberry Pi, an ESP32 microcontroller, a camera for image processing, and a 16x2 LCD to display pothole detection and GPS locations in real-time. To support successful maintenance, the technology tries to identify potholes in real time, precisely measure their dimensions, and document their locations. The proposed system enhances road safety while also lowering maintenance costs by taking a proactive approach to pothole reduction. The proposed system effectively achieves its aims by integrating a variety of hardware components. The GPS module is used to provide exact geolocation, allowing for detailed mapping of pothole sites and focused maintenance activities. A Raspberry Pi serves as the central processing unit, coordinating data collecting, analysis, and communication operations. An ESP32 microcontroller improves system performance by managing low-level hardware interfaces and real-time processes, allowing for a quick response to pothole detection. A camera built inside the device takes photographs of road surfaces, which are then examined using sophisticated image processing algorithms to properly identify and characterize potholes.