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Titel:

Traffic Trajectory Prediction Framework within Providentia++

Titelzusatz:
Guided Research
Dokumenttyp:
Report / Forschungsbericht
Autor(en):
Jurek Olden, Walter Zimmer, Christian Creß
Abstract:
The purpose of the Providentia++ project is to set up digital imagery and infrastructure along the German A9 highway in order to create a real time “digital twin” of the traffic. Ultimately, the goal is to also provide services to various stakeholders such as autonomous cars or smart traffic lights, among others. One obvious service is the prediction of short-term trajectories of traffic participants, which may be used for e.g. collision avoidance or lane change optimization in autonomous cars....     »
Stichworte:
Providentia, A9 Test Field, Trajectory Prediction, CARLA, simulation, LSTM
Projekt:
Providentia++
Beauftragende Einrichtung:
Technical University of Munich
Publikationsdatum:
30.07.2021
Jahr:
2021
Sprache:
en
TUM Einrichtung:
Chair of Robotics, Artificial Intelligence and Real-Time Systems
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