The assessment of fire damaged street furniture in Lahaina, Maui, using YOLOv12 and 360° imagery

Using 360° imagery before and after the 2023 Lahaina fire disaster, damage to street furniture including traffic signs, control devices, street lighting, utility poles, and other objects, is assessed. In addition to describing the collection of panoramic 360° images using a Mosaic X camera, the detection and characterization of objects using YOLOv12 and other software are described. Accuracy, reliability, and bias associated with data collection and analysis are discussed for the most common types of street furniture. The research and machine vision tools are helpful for emergency management ane for routine and repair and maintenance operations. The technologies and processes contribute to the development of digital roadway twins and novel applications for transportation planning, operations, repair, and construction of critical roadway infrastructure.