Collective Perception: Impact on Fuel Consumption for Heavy Trucks

Juergen Hauenstein, Jakob Gromer, Jan Cedric Mertens, Frank Diermeyer, Sven Kraus

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

With on-board sensor technology, the environment can only be perceived to a limited extent. This can lead to energy-inefficient driving maneuvers due to the late perception of objects. The fuel consumption of heavy trucks is a major cost factor for transport companies, which is why energy-efficient systems are being sought. With collective perception, perceived objects are exchanged via Vehicle-to-Everything (V2X) and merged to a common environment model. Therefore, it is possible to achieve a greater awareness, which allows for improved planning for automated vehicles. In this publication, a system with collective perception and energy-efficient maneuver planning is presented. The functioning of the collective perception is presented using real vehicle data. A vehicle simulation shows the positive effect of collective perception in combination with an energy-efficient maneuver planner for determining the fuel consumption of heavy trucks.

OriginalspracheEnglisch
TitelVEHITS 2021 - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems
Redakteure/-innenKarsten Berns, Markus Helfert, Oleg Gusikhin
Herausgeber (Verlag)Science and Technology Publications, Lda
Seiten350-361
Seitenumfang12
ISBN (elektronisch)9789897585135
PublikationsstatusVeröffentlicht - 2021
Veranstaltung7th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2021 - Virtual, Online
Dauer: 28 Apr. 202130 Apr. 2021

Publikationsreihe

NameInternational Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings
Band2021-April
ISSN (elektronisch)2184-495X

Konferenz

Konferenz7th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2021
OrtVirtual, Online
Zeitraum28/04/2130/04/21

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