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Project Details

Title:Implementation of Aerial LiDAR Technology to Update Highway Feature Inventory
Principal Investigators:Ziqi Song
University:Utah State University
Grant #:DTRT13-G-UTC38 (MAP21)
Project #:MPC-462
RH Display ID:15819
Keywords:aerial photography, asset management, data collection, inspection, inventory control, laser radar, virtual reality


UDOT's Maintenance Feature Inventory, housed inside the Operations Management System (OMS), was largely populated in 2012 as a result of a Mobile LiDAR (Light Detection and Ranging) data collection effort conducted by Mandli Communications. The Feature Inventory, however, is not static, so it is imperative to identify cost-effective means to keep the data current. Mandli will be conducting a new Mobile LiDAR data collection in 2014 in an effort to identify differences in the asset inventory from the 2012 data set. However, a more cost-effective means of identifying differences may be by employing Aerial LiDAR in areas where large-scale changes may have occurred, such as where new construction activities may have occurred subsequent to the original data collection. Aerial LiDAR technology offers the advantages of a) less time spent in data collection (days rather than months), and b) a view of the roadway from a different perspective, allowing features to be viewed and identified that may have been hidden from the Mobile platform. A possible disadvantage may be lower resolution of the point cloud (fewer data points per square meter). This project is to test whether Aerial LiDAR data can be a) obtained accurately and quickly enough to be cost-effective as compared to a second Mobile run, b) successfully merged with the Mobile LiDAR point cloud such that differences in the asset inventory can be easily identified, and c) used as a tool to identify features that were not visible from the Mobile platform.

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NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050