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, 2012, 60 (12)
doi: 10.26083/tuprints-00014367
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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:

31 August 2021

Place of Publication:

Darmstadt

Year of primary publication:

2012

Place of primary publication:

Berlin

Publisher:

De Gruyter

Journal or Publication Title:

at - Automatisierungstechnik

Volume of the journal:

Issue Number:

DOI:

10.26083/tuprints-00014367

Corresponding Links:

Publisher-DOI

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 Abstract

Language

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-143672

Classification DDC:

600 Technology, medicine, applied sciences > 620 Engineering and machine engineering

Divisions:

16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD)
16 Department of Mechanical Engineering > Ergonomics (IAD)
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Systems and Mechatronics
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:

31 Aug 2021 12:09

Last Modified: