Videos
FHWA's 13 Vehicle Category Classification
A demo of automated fine-grained vehicle classification using combined semantic and geometric features extracted from surveillance videos.Digital twinning of traffic scenes
A demo of digital twinning of traffic scenes at an intersection for development of intelligent roadside infrastructure in monitoring different road users as well as in support of traffic and transportation applications.Monitoring of departure headways (video)
We automated real-time monitoring of vehicle departure headways by harvesting streams collected from the traffic surveillance video.
Monitoring of departure headways (plot)
The vehicle departure headways on the left lane in the left video "Monitoring of departure headways (video)" as an illustration are progressively plotted.
Visual surveying of vehicle heights
We enable automatic vehicle height measurement to help measure the risk of overheight collisions using deep learning and view geometry. See our publication.
Granular level data collection of vehicles
We expand our algorithms to collect granular level data of vehicles such as vehicle type, height, length, speed, axle spacing, and presence to enable wider applications.
Roller path tracking and mapping (video)
We exploit the hot mix asphalt paving mat and thermal imaging modality to develop a technique for automatic tracking and mapping roller paths in pavement compaction operations. See our publication.
Roller path tracking and mapping (map)
A color-coded map that indicates # of passes, starting and ending points of each pass, total # of coverages was progressively generated based on the left video "Roller path tracking and mapping (video)".