Sensor fusion is the process of integrating data from LiDAR and high-resolution cameras to enhance accuracy. Cyvl’s sensor fusion combines 2D images and 3D properties, allowing for reliable, complete data that improves the quality of condition assessments and asset inventories.
Category: Product
How does Cyvl integrate with our tools and platforms?
Cyvl provides data in common formats such as GIS Shapefiles, Excel, CSV, GeoJSON, and Pointclouds, allowing seamless integration with existing software systems.
What is the accuracy of Cyvl’s geolocation for pavement data?
The median geo-location accuracy for pavement markings is under 1.5 meters, achieved through high-precision GPS, correction networks, and post-processing adjustments
How does Cyvl assess pavement condition?
Cyvl assesses pavement condition by identifying various types of distresses such as cracks, potholes, and deformations. These defects are mapped, measured, and scored on a 0-100 scale that aligns with the ASTM Pavement Condition Index (PCI).