Testbed Videos

Several technical studies have been undertaken in the OGC Innovation Programme and their results published online. These demonstrate successful application of WebVMT to real-world problems and help to ensure alignment of its web-based design with geospatial standards such as OGC GeoPose and Moving Features. Focus has shifted from 'where we are' to 'where we are looking' and the scope has widened to include sensors and data aggregation, while maintaining a simple accessible approach.

Testbed-20

  Aggregation & Orientation

Smartphone footage recorded on a sailing boat was aggregated with maritime traffic data to improve tracking accuracy.

  • Vessel tracking was enhanced using nautical charts in a web browser
  • Video was accurately synchronised with maritime AIS tracking data

Aerial observation video was made easier to interpret by rotating the map to match the camera's perspective.

  • Video camera heading was calculated and exported to WebVMT
  • Map rotation was synchronised with the camera's perspective in a web browser
  • Locations of objects visible in the video were accurately identified from satellite maps

Testbed-19

  Synchronisation

Roadside video footage was recorded with WebVMT to analyse traffic movement and identify wrong-way vehicles from geotagged video in a web browser.

  • Vehicle paths were tracked using roadside cameras
  • Videos from separate cameras were accurately synchronised
  • Vehicles travelling in the wrong direction were identified
  • Vehicle speeds were calculated for forensic evidence

Testbed-17

  Tracking

Video and LiDAR data from Ordnance Survey's self-driving research vehicle were used to track nearby moving objects, including a cyclist, with WebVMT in a web browser.

  • Vehicle LiDAR detections were transformed into world co-ordinates
  • Detections were classified as moving or stationary
  • Moving detections were associated into tracks
  • Speed and distance were calculated for each track