NREC and FHWA are developing techniques for automatically analyzing large amounts of video collected from vehicles traveling on highways.

NREC engineers are applying powerful, flexible machine learning and image processing methods to analyze the vast collections of video, radar, ladar, and other sensor data that have been recorded on roads and highways.

These techniques allow transportation researchers to automatically identify vehicles, detect road conditions, and extract other useful information from enormous highway datasets without the need for manual coding.