elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Boosting Perception of Relevant Road Users Under Adverse Weather Conditions: Evaluation of a Human-Machine Interface for Remote Assistants of Highly Automated Vehicles

Schrank, Andreas Gottfried und Wilbrink, Marc und Oehl, Michael (2024) Boosting Perception of Relevant Road Users Under Adverse Weather Conditions: Evaluation of a Human-Machine Interface for Remote Assistants of Highly Automated Vehicles. In: Proceedings of the 2024 HFES Europe Chapter Annual Meeting. Annual Meeting of the Human Factors and Ergonomics Society (HFES) Europe Chapter, 2024-04-16 - 2024-04-19, Lübeck. (im Druck)

Dieses Archiv kann nicht den Volltext zur Verfügung stellen.

Offizielle URL: https://www.hfes-europe.org/annual-meeting/

Kurzfassung

Remotely operating vehicles enables the effective use of vehicle automation even when fully automated driving is not feasible. A human operator assists the vehicle automation remotely when its capabilities are exceeded. The vehicle’s remote assistant, legally defined as Technical Supervisor (“Technische Aufsicht”), is a prerequisite to operate highly automated vehicles (HAVs, SAE 4) on public roads in Germany. Assessing traffic situations and providing assistance heavily depends on the video stream from the surroundings of the supervised vehicle. However, adverse weather conditions may deteriorate the visibility of relevant road users, decreasing the remote assistant’s performance in assessing and acting on traffic situations that the vehicle’s automation cannot handle independently. This poster presents a human-machine interface (HMI) concept for augmenting the remotely assisted HAV’s video stream displayed at the remote assistant’s workplace. The video stream is overlaid with boundary boxes around relevant road users, boosting salience and improving the remote assistant’s perception. The required data can be generated by conventional HAV sensors. The HMI concept was evaluated in an experimental user study with modulated workload via a secondary task regarding performance, workload, situation awareness, and usability. The study’s results inform the iterative development of a workplace for remotely assisting HAVs.

elib-URL des Eintrags:https://elib.dlr.de/204010/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Boosting Perception of Relevant Road Users Under Adverse Weather Conditions: Evaluation of a Human-Machine Interface for Remote Assistants of Highly Automated Vehicles
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schrank, Andreas GottfriedAndreas.Schrank (at) dlr.dehttps://orcid.org/0000-0001-8352-1052NICHT SPEZIFIZIERT
Wilbrink, Marcmarc.wilbrink (at) dlr.dehttps://orcid.org/0000-0002-7550-8613NICHT SPEZIFIZIERT
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286NICHT SPEZIFIZIERT
Datum:18 April 2024
Erschienen in:Proceedings of the 2024 HFES Europe Chapter Annual Meeting
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:im Druck
Stichwörter:Remote operation, highly automated vehicles, human-machine interaction, remote assistance
Veranstaltungstitel:Annual Meeting of the Human Factors and Ergonomics Society (HFES) Europe Chapter
Veranstaltungsort:Lübeck
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:16 April 2024
Veranstaltungsende:19 April 2024
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Straßenverkehr
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V ST Straßenverkehr
DLR - Teilgebiet (Projekt, Vorhaben):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Kooperative Systeme, BS
Hinterlegt von: Schrank, Andreas Gottfried
Hinterlegt am:03 Mai 2024 08:14
Letzte Änderung:03 Mai 2024 08:14

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.