High dynamic and fine granular traffic monitoring for increased urban safety


This project addresses the detection and tracking of cars, pedestrians, and cyclists from cameras mounted in street lamps. The traffic data will be used to predict critical situations and warn the traffic participants.


Spokesperson
Eisert, Peter Prof. Dr.-Ing. (Details) (Visual Computing)

Duration of Project
Start date: 08/2018
End date: 10/2021

Research Areas
Computer Science, Interactive and Intelligent Systems, Image and Language Processing, Computer Graphics and Visualisation

Research Areas
Datenanalyse, Deep Learning

Last updated on 2021-16-02 at 23:05