Detection of Road Attributes Using Solid-State LiDAR

This paper introduces an enhanced approach for identifying and assessing road surface defects, particularly potholes, by utilizing LiDAR technology in conjunction with autonomous vehicles. By processing high-resolution LiDAR data, the system identifies significant deviations in road elevation, clusters potential potholes, and calculates their severity based on depth measurements. This automated approach offers precise, real-time monitoring of road conditions, significantly reducing the need for manual inspections. The integration of LiDAR technology with autonomous systems enhances road safety and maintenance efficiency, providing a scalable solution for proactive infrastructure management.