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.

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.

Dữ liệu và nguồn

Thông tin khác

Miền Giá trị
Tác giả
  • Author: Pascal Brunner Author Email: pascal.brunnerfoo(at)carissma.eu
Người bảo dưỡng
  • Maintainer: Felix Fröhling Maintainer Email: felix.froehlingfoo(at)carissma.eu Role: Experte
  • Maintainer: Pascal Brunner Maintainer Email: pascal.brunnerfoo(at)carissma.eu
Ngôn ngữ
Phiên bản
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