Implementation of LiDAR Array System for Damaged Road Characteristic Identification on Moving Vehicle

In smart city infrastructure, road management is a critical component of transportation infrastructure inspection to ensure a safe driving experience. The current method relies on a visual inspection or survey to monitor road conditions. Several studies have been widely developed to change visual surveys, such as ultrasonic detection systems, but the accuracy of the devices is limited due to environmental factors. LiDAR, on the other hand, provides a more accurate alternative by measuring distance. In this paper, we propose a low-cost infrared Time of Flight (ToF) sensor with a programmable Region of Interest (RoI) feature to adjust the pointing of the sensor. The RoI identifies road characteristics by setting a LiDAR array, including depth/height, width, and length information. The success of this system was tested through an experiment with an error rate of less than 20% for the width and depth measurement but 35% for the length measurement.