Logo of the Pacific Northwest Transportation Consortium  In research sponsored by the Pacific Northwest Transportation Consortium (PacTrans), our project team investigated the use of lidar-equipped unmanned aircraft systems (UAS) and machine learning for traffic network monitoring. OSU graduate students built and instrumented a custom lidar-UAS and then flew it (operating under FAA Part 107) to acquire data over multiple test sites. Final outcomes of the project include:

  1. Guidelines for operational use of UAS by transportation agencies
  2. Vehicle recognition software supporting real-time processing (developed by project partners at the University of Idaho, National Institute for Advanced Transportation Technology)

Data from the project, including UAS lidar point clouds, are available here.

A project video, presented at the 2019 PacTrans | CSET Regional Transportation Conference is available here.

Lidar-equipped unmanned aircraft system (UAS)  Imagery and UAS lidar data for intersection UAS lidar data for Newberg-Dundee site