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PRORETA 3: An Integrated Approach to Collision Avoidance and Vehicle Automation : System Description, Requirements and Preliminary Results

Bauer, Eric ; Lotz, Felix ; Pfromm, Matthias ; Schreier, Matthias ; Abendroth, Bettina ; Cieler, Stephan ; Eckert, Alfred ; Hohm, Andree ; Lüke, Stefan ; Rieth, Peter ; Willert, Volker ; Adamy, Jürgen ; Winner, Hermann ; Bruder, Ralph ; Konigorski, Ulrich (2021)
PRORETA 3: An Integrated Approach to Collision Avoidance and Vehicle Automation : System Description, Requirements and Preliminary Results.
In: at - Automatisierungstechnik, 60 (12)
doi: 10.26083/tuprints-00019446
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: PRORETA 3: An Integrated Approach to Collision Avoidance and Vehicle Automation : System Description, Requirements and Preliminary Results
Language: English
Date: 16 September 2021
Place of Publication: Darmstadt
Publisher: De Gruyter
Journal or Publication Title: at - Automatisierungstechnik
Volume of the journal: 60
Issue Number: 12
DOI: 10.26083/tuprints-00019446
Corresponding Links:
Origin: Secondary publication service
Abstract:

The article describes first results of the research project PRORETA 3 that aims at the development of an integral driver assistance system for collision avoidance and automated vehicle guidance based on a modular system architecture. For this purpose, relevant information is extracted from a dense environment model and fed into a potential field-based trajectory planner that calculates reference signals for underlying vehicle controllers. In addition, the driver is supported by a human-machine interface.

Alternative Abstract:
Alternative AbstractLanguage

Der Beitrag beschreibt erste Ergebnisse des Forschungsprojektes PRORETA 3, das die Entwicklung eines integralen Fahrerassistenzsystems zur Kollisionsvermeidung und automatisierten Fahrzeugführung auf Basis einer modularen Systemarchitektur anstrebt. Hierzu werden relevante Informationen aus einem dichten Umfeldmodell extrahiert und in einem potentialfeldbasierten Trajektorienplaner verarbeitet, der Führungsgrößen für unterlagerte Fahrzeugregler generiert. Zusätzlich unterstützt eine Mensch-Maschine-Schnittstelle den Fahrer zielgerichtet bei der Fahrzeugführung.

German
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-194468
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems)
Date Deposited: 16 Sep 2021 13:07
Last Modified: 19 Sep 2023 18:02
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19446
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