Method for analysing the feeling of safety at high speed using virtual test drives

Heiderich, Martin; Leonhardt, S.; Krantz, Werner; Neubeck, Jens; Wiedemann, Jochen

doi:10.1007/978-3-658-21194-3_67

Cited by 5 publications

(1 citation statement)

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“…Heiderich et al [40] studied the influence of vehicle motions caused by external disturbances on the perceived safety on a driving simulator. The authors then objectified the perceived safety by correlating the subjective impression of safety with the vehicle motion data.…”

Section: Safetymentioning

confidence: 99%

State of the Art: Ongoing Research in Assessment Methods for Lane Keeping Assistance Systems

Wei

Pfeffer

Edelmann

2024

IEEE Trans. Intell. Veh.

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A safe, comfortable and intelligent Lane Keeping Assistance System (LKAS) is fundamental on the way to realizing full automated driving. In spite of the current high market penetration of LKAS, vehicle manufacturers, suppliers and researchers are still working on improving the system to reach a higher customer acceptance. To achieve this goal more efficiently, a systematic and ideally objective assessment procedure of the system needs to be established. Till date, a thorough review study of the assessment procedures of LKAS does not exist, especially of those which also take the subjective impression of the driver into consideration. The motivation of this paper is to benchmark the state-of-the-art assessment methods of LKAS and identify where problems and research potentials lie. The paper summarizes the relevant characteristics of LKAS based on representative research in the past decades. It also compares the characterization of LKAS with the field of steering feel and vehicle handling in the aspects of procedure, strategy, as well as their advantages and disadvantages. This paper contributes to transferring the know-hows and valuable experiences from other well-developed fields of vehicle dynamics into the rapid-evolving branch of Advanced Driver Assistance System (ADAS), in order to help standardizing its assessment procedure and give insights on system design from a human-centered perspective in the early development phase, thus shortening the ADAS development cycles.

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Section: Safetymentioning

confidence: 99%