Detailed analysis and characterization of Subjective Assessment Indicators of manual and automated parking maneuvers. (October 2022)

• Record Type: Journal Article
• Authors: Scheck, Korbinian; Pfeffer, Peter E; Schick, Bernhard
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 236:Number 12(2022)
• Page Start: 2557
• Page End: 2571
• Publication Date: 2022-10
• Subjects: Parking assistance systems -- automated parking -- human-automation interaction -- autonomous driving -- driver assistance systems; Mechanical engineering -- Congresses; Transportation engineering -- Congresses; 629.2
• DOI: 10.1177/09544070211061905
• Languages: English
• ISSNs: 0954-4070

Abstract

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 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.