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Detailed analysis and characterization of Subjective Assessment Indicators of manual and automated parking maneuvers

  • This paper presents a detailed analysis and characterization of Subjective Assessment Indicators for evaluating manual as well as fully automatic parking maneuvers. Parking is a huge challenge for many drivers. With the introduction of autonomous driving, parking maneuver assistants are essential functional components. For the development of automatic parking assistants, a detailed characterization of a subjective evaluation is essential. The characterization analysis presented here is based on general Subjective Assessment Indicators, which cover the subjective overall performance of a parking maneuver on a customer-oriented level in as many facets as necessary. This paper shows meaningful characteristics of the individual Subjective Assessment Indicators validated in a driving study with 497 performed parking maneuvers. The study results reveal different degrees of intensity of the characterizations for the different driving maneuvers. Here, it is shown that the characterization of the Final Parking Position has different referenceThis paper presents a detailed analysis and characterization of Subjective Assessment Indicators for evaluating manual as well as fully automatic parking maneuvers. Parking is a huge challenge for many drivers. With the introduction of autonomous driving, parking maneuver assistants are essential functional components. For the development of automatic parking assistants, a detailed characterization of a subjective evaluation is essential. The characterization analysis presented here is based on general Subjective Assessment Indicators, which cover the subjective overall performance of a parking maneuver on a customer-oriented level in as many facets as necessary. This paper shows meaningful characteristics of the individual Subjective Assessment Indicators validated in a driving study with 497 performed parking maneuvers. The study results reveal different degrees of intensity of the characterizations for the different driving maneuvers. Here, it is shown that the characterization of the Final Parking Position has different reference points for longitudinal and lateral parking maneuvers. Furthermore, it was shown that an additional characteristic ‘‘Driving-Off Behavior’’ is required for the evaluation of the Safety Feeling, but for Parking Comfort the ‘‘Lateral Acceleration’’ and for Dynamic Performance the ‘‘Distance Traveled’’ can be neglected. The characteristics described in this paper can be used for all parking maneuvers and vehicle types. It forms the basis for a complete evaluation and enables OEMs to apply their individual requirements in the development of parking assistants.show moreshow less

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Metadaten
Author:Korbinian ScheckORCiD, Peter Ernst PfefferORCiDGND, Bernhard SchickORCiD
DOI:https://doi.org/10.1177/09544070211061905
Identifier:2041-2991 OPAC HS OPAC extern
Identifier:0954-4070 OPAC HS OPAC extern
Parent Title (English):Proceedings of the Institution of Mechanical Engineers. Part D, Journal of Automobile Engineering
Publisher:SAGE Publication
Place of publication:London
Editor:SAGE Institution of Mechanical Engineers
Document Type:Article
Language:English
Date of Publication (online):2021/12/02
Year of first Publication:2021
Tag:Adadvanced driver assistance systems; automated driving; automated parking; autonomous driving; human-automation interaction; parking assistance systems
Volume:Volume 236
Issue:Issue 12
Number of pages:15 Seiten
First Page:2557
Last Page:2571
Institutes:Fakultät Maschinenbau
IFM - Institut für Fahrerassistenz und vernetzte Mobilität
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik
6 Technik, Medizin, angewandte Wissenschaften
Research focus:FSP2: Mobilität
Publication Lists:Schick, Bernhard
Publication reviewed:begutachtet
Release Date:2022/03/24
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