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

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.

Podaci i Resursi

Dodatne informacije

Polje Vrijednost
Autor
  • Author: Pascal Brunner Author Email: pascal.brunnerfoo(at)carissma.eu
Održаvа
  • Maintainer: Felix Fröhling Maintainer Email: felix.froehlingfoo(at)carissma.eu Role: Experte
  • Maintainer: Pascal Brunner Maintainer Email: pascal.brunnerfoo(at)carissma.eu Role: Experte
Jezik
Verzijа
Start des Gültigkeitszeitraumes
Ende des Gültigkeitszeitraumes
Räumliche Ausdehnung

Dataset extent

Map data © 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