Traffic Camera Tracking (SAVeNoW)

Main goals of this project is to detect, track and obtain velocity information of seven different traffic actors (Escooter, Pedestrians, Cyclists, Motorcycle, Car, Truck, Bus) from a video footage of a traffic intersection in Ingolstadt. This project is a part of SaveNoW, where all these data are used to create a digital twin of Ingolstadt for simulation purposes.

B3

B3

This algorithm has been specially trained to distinguish between cyclists, e-scooter riders and pedestrians. This data is important to better study the traffic density and the behavior of e-scooters. The weights of the Network are currently not part of the Github repo. If you are interessted in the weights, please contact Pascal Brunner.

Data and Resources

Additional Info

Field Value
Author
  • Author: Pascal Brunner Author Email: pascal.brunnerfoo(at)carissma.eu
Maintainer
  • Maintainer: Felix Fröhling Maintainer Email: felix.froehlingfoo(at)carissma.eu Role: Experte
  • Maintainer: Pascal Brunner Maintainer Email: pascal.brunnerfoo(at)carissma.eu Role: Experte
Language
Version
Start des Gültigkeitszeitraumes
Ende des Gültigkeitszeitraumes
Spatial extent

Dataset extent

OpenStreetMap contributors.
spatial

{"type":"MultiPolygon","coordinates":[[[[11.42355,48.774519],[11.42355,48.775905],[11.426468,48.775905],[11.426468,48.774519],[11.42355,48.774519]]]]}
Benutzerdefiniertes Feld