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(Die Seite wurde neu angelegt: „{{Abschlussarbeit |Titel=Detecting Cooperative Driving in Deep Neural Network Architectures |Vorname=Nikolai |Nachname=Polley |Abschlussarbeitstyp=Bachelor, Ma…“)
 
 
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|Nachname=Polley
 
|Nachname=Polley
 
|Abschlussarbeitstyp=Bachelor, Master
 
|Abschlussarbeitstyp=Bachelor, Master
|Betreuer=Marius Zöllner; Nikolai Polley
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|Betreuer=J. Marius Zöllner; Nikolai Polley
 
|Forschungsgruppe=Angewandte Technisch-Kognitive Systeme
 
|Forschungsgruppe=Angewandte Technisch-Kognitive Systeme
 
|Abschlussarbeitsstatus=Offen
 
|Abschlussarbeitsstatus=Offen
 
|Beginn=2022/10/20
 
|Beginn=2022/10/20
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|Beschreibung DE=A well functioning autonomous driving system needs to be able to anticipate the dynamic behavior of other traffic participants. With this knowledge, cooperative driving with non-autonomous cars should be achievable.
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Recently, deep neural networks (transformers and graph-neural-networks) have been used on large-scale datasets to predict the future of other road users. In this thesis you will analyze these models to find interactive/cooperative behavior.
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Your task is to define a metric to determine if a given situation will result in interactive behavior between traffic participants.
 
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Aktuelle Version vom 20. Oktober 2022, 13:49 Uhr



Detecting Cooperative Driving in Deep Neural Network Architectures




Informationen zur Arbeit

Abschlussarbeitstyp: Bachelor, Master
Betreuer: J. Marius ZöllnerNikolai Polley
Forschungsgruppe: Angewandte Technisch-Kognitive Systeme

Archivierungsnummer: 4959
Abschlussarbeitsstatus: Offen
Beginn: 20. Oktober 2022
Abgabe: unbekannt

Weitere Informationen

A well functioning autonomous driving system needs to be able to anticipate the dynamic behavior of other traffic participants. With this knowledge, cooperative driving with non-autonomous cars should be achievable.


Recently, deep neural networks (transformers and graph-neural-networks) have been used on large-scale datasets to predict the future of other road users. In this thesis you will analyze these models to find interactive/cooperative behavior. Your task is to define a metric to determine if a given situation will result in interactive behavior between traffic participants.