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A Roadmap Towards Remote Assistance: Outcomes from Multidisciplinary Workshop at the 2023 Intelligent Vehicles Symposium

Aramrattana, Maytheewat and Schrank, Andreas Gottfried and Andersson, Jonas and Zhao, Lin and Hermann, David and Mharolkar, Sanat and Vanzura, Marek and Habibovic, Azra and Oehl, Michael (2024) A Roadmap Towards Remote Assistance: Outcomes from Multidisciplinary Workshop at the 2023 Intelligent Vehicles Symposium. In: Communications in Computer and Information Science. HCI International 2024, 2024-06-29 - 2024-07-04, Washington, DC, USA. doi: 10.1007/978-3-031-61963-2_16. ISSN 1865-0929.

Full text not available from this repository.

Official URL: https://link.springer.com/chapter/10.1007/978-3-031-61963-2_16

Abstract

Remote operation of highly automated vehicles (HAVs) may include occasional assistance from a human remote operator that is located outside the HAVs. Remote assistance typically delegates only high-level guidance tasks to the remote operators such as authorizing a driving maneuver or specifying a new driving path. As remote assistance is fairly unexplored, there are still several research challenges. These challenges were discussed by experts from academia and industry in a multidisciplinary workshop at the 2023 IEEE Intelligent Vehicles Symposium. As a result of the workshop, this paper presents a list of most pressing research questions in the following areas: human-machine interaction and human factors, design of the remote station, design of the HAVs. It also outlines a roadmap for future research on remote assistance of HAV, thereby informing interdisciplinary studies and facilitating the benefits of HAVs before full autonomy can be reached.

Item URL in elib:https://elib.dlr.de/204846/
Document Type:Conference or Workshop Item (Poster)
Title:A Roadmap Towards Remote Assistance: Outcomes from Multidisciplinary Workshop at the 2023 Intelligent Vehicles Symposium
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Aramrattana, MaytheewatSwedish National Road and Transport Research Institute (VTI)UNSPECIFIEDUNSPECIFIED
Schrank, Andreas GottfriedUNSPECIFIEDhttps://orcid.org/0000-0001-8352-1052UNSPECIFIED
Andersson, JonasRISEUNSPECIFIEDUNSPECIFIED
Zhao, LinKTH Royal Institute of TechnologyUNSPECIFIEDUNSPECIFIED
Hermann, DavidTechnische Universität MünchenUNSPECIFIEDUNSPECIFIED
Mharolkar, SanatNanyang Technological UniversityUNSPECIFIEDUNSPECIFIED
Vanzura, MarekGeorge Mason UniversityUNSPECIFIEDUNSPECIFIED
Habibovic, AzraScaniaUNSPECIFIEDUNSPECIFIED
Oehl, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-0871-2286UNSPECIFIED
Date:8 June 2024
Journal or Publication Title:Communications in Computer and Information Science
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1007/978-3-031-61963-2_16
ISSN:1865-0929
Status:Published
Keywords:Remote assistance Human factors Remote operation Autonomous vehicles
Event Title:HCI International 2024
Event Location:Washington, DC, USA
Event Type:international Conference
Event Start Date:29 June 2024
Event End Date:4 July 2024
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BS
Deposited By: Schrank, Andreas Gottfried
Deposited On:01 Jul 2024 09:23
Last Modified:01 Jul 2024 09:23

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