Automatic Pothole Detection System using Laser

Abstract

Identification of pavement distress such as potholes and humps not only helps drivers to avoid accidents, but also helps authorities to maintain roads. This project discusses previous pothole detection methods that have been developed and proposes a cost-effective solution to identify the potholes and humps on rods and provide timely alerts to drivers to avoid accidents or vehicle damages. Lasers are used to identify the potholes and humps. The proposed system captures the geographical location coordinates of the potholes and humps. It can actively learn the knowledge about the suspension system of the host vehicle without any human intervention vibration model to infer the presence of pothole while the vehicle is hitting the pothole. As a proof of concept Raspberry Pi based prototype of proposed system is designed and going to be developed for small application.

Development of an Intelligent Road Anomaly Detection System for Autonomous Vehicles

“…There exists in literature several works in the area of pothole identification and avoidance. In [19] the development of an imagebased pothole detection system for intelligent transport system (ITS) service and road management system was proposed. In this work, , a pothole detection method based on two-dimensional (2D) images was proposed for improving the existing method and to be applied to ITS service and road management systems.…”

“…Similarly, [22] designed an automatic pothole detection system using laser technology. The system captures the geographical location coordinates of the potholes and humps..…”

A Theoretical Framework Towards Building a Lightweight Model for Pothole Detection using Knowledge Distillation Approach

“…The solution was based on the technology that can be considered obsolete nowadays, with advent of recent emergent technologies, it is possible to build a pothole detection model based on these technologies. [3] Proposed a laser-based approach of detecting potholes by a moving vehicle to improve driver's safety. Other several approaches exist such as approaches based on IoT and kinetic sensors as in the case of [4].…”