Latest revision as of 00:10, 2 February 2021

Abstract

The progress of safety technologies, based on the continuous advances in vehicle crash worthiness, restraint systems and active safety functions made traffic safer than ever before. Latest developments heading from assisted Advanced Driver Assistance System (ADAS) to Automated Driving (AD), lead to more and more complex real-world situations to be handled, going from standard driving tasks up to critical situations, which may cause a collision. Therefore, throughout the development process of such systems, it becomes common to use simulation technologies in order to assess these systems in advance. To gain results out of the simulation, input data are required; typically, from various sources, so the requirements can be covered. Thus, the challenge of scoping with different input sources arises. To come along with that problem, two main kinds of input data will be needed in general: (1) the descriptive parameter covering all border conditions, so called parameter room; (2) the system specifications for estimation. The quality of the results correlates strongly with the quality of inputs given. In case of ADAS systems and AD functions, the second kind of input data is very well known. Major challenges relate to the first kind of input data. Thus, the paper will describe a way to create input data that cover all descriptive parameters needed from normal driving up to the collision by the combination of accident analysis and real-world road traffic observations. The method aims at being applicable to different data sources and to different countries.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.17265/2159-5275/2019.06.001 under the license https://creativecommons.org/licenses/by-nc

• http://publica.fraunhofer.de/documents/N-565839.html

• http://publica.fraunhofer.de/documents/N-565986.html

• http://www.davidpublisher.org/Public/uploads/Contribute/5de483e675b35.pdf

under the license cc-by-nc