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A simulation-based analysis for a transverse guidance for highly automated driving functions

  • In recent decades, research in both academic and industry has focused on the area of highly automated driving systems and is expected to do so in the near future. The scenario-based analysis is widely used in automated vehicles that requires simulation-based vehicle control estimation. One of the assist system is transverse guidance that is inescapable for highly automated driving system. The transverse guidance assist system deals with the longitudinal and lateral behavior of the vehicle. For a specific use case, merging functions like adaptive cruise control and lane keeping assist system are considered. The paper is focused on the development of transverse guidance that forms the combined lateral and longitudinal control of highly automated driving system like Lane Change maneuver planning in highway scenario. Moreover, the parameters are demonstrated for the model and performance of the model has been shown for the use case scenario. The proposed approach is then evaluated for a scenario in a simulation environment modeled usingIn recent decades, research in both academic and industry has focused on the area of highly automated driving systems and is expected to do so in the near future. The scenario-based analysis is widely used in automated vehicles that requires simulation-based vehicle control estimation. One of the assist system is transverse guidance that is inescapable for highly automated driving system. The transverse guidance assist system deals with the longitudinal and lateral behavior of the vehicle. For a specific use case, merging functions like adaptive cruise control and lane keeping assist system are considered. The paper is focused on the development of transverse guidance that forms the combined lateral and longitudinal control of highly automated driving system like Lane Change maneuver planning in highway scenario. Moreover, the parameters are demonstrated for the model and performance of the model has been shown for the use case scenario. The proposed approach is then evaluated for a scenario in a simulation environment modeled using MATLAB/Simulink.show moreshow less

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Metadaten
Author:Marzana KhatunORCiD, Milin PatelORCiD, Rolf Jung, Michael GlaßORCiD
DOI:https://doi.org/10.1109/HORA52670.2021.9461313
Identifier:978-1-6654-4058-5 OPAC HS OPAC extern
Identifier:1665440589 OPAC HS OPAC extern
Parent Title (Multiple languages):2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
Publisher:IEEE
Place of publication:Ankara, Turkey
Document Type:conference proceeding (article)
Conference:3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 11-13 June 2021, Ankara, Turkey
Language:English
Date of Publication (online):2021/06/25
Year of first Publication:2021
Tag:ACC; HADF; LKAS; PFC; TGAS
Volume:2021
Number of pages:6 Seiten
First Page:1
Last Page:6
Institutes:IFM - Institut für Fahrerassistenz und vernetzte Mobilität
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften
Research focus:FSP2: Mobilität
Eigenständige Forschungsfelder
Publication Lists:Jung, Rolf
Khatun, Marzana
Patel, Milin
Publication reviewed:begutachtet
Release Date:2021/07/19
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