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Hi-Drive Driving Scenario Concept

Authors: Sonntag, Marcel; Weber, Hendrik; Rahmani, Saeed; Gelder, Erwin de; Eckstein, Lutz;

Hi-Drive Driving Scenario Concept

Abstract

This document presents the Hi-Drive driving scenario concept, which was developed within work package test case definition for scenarios and edge cases. There are different objectives for developing and presenting the driving scenario concept. First, it enables the scenario-based technical evaluation of automated driving functions (ADFs) in the different Hi-Drive use cases using real-world driving data. Second, the driving scenario concept supports the impact assessment of ADFs by providing scenario-based real-world data for the calibration of models used in simulations. Third, it contributes to the driving scenario database (DSDB) that will be set up in the Hi-Drive project to enable the derivation of test cases for ADFs. The driving scenario concept aims at communicating the driving scenarios considered within the Hi-Drive project, and therefore, the driving scenarios or details thereof that are not considered in the Hi-Drive project are out of the scope of the presented concept. The concept uses the 6-layer model as a reference with layer 4 defining the specific driving scenarios, and the other layers adding tags for further specifying the driving scenario instances detected for those driving scenarios. For layer 4, the top-level superclasses are “Driving in Lane”, “Changing Lane”, “Turning”, and “Crossing”. Those superclasses are further separated resulting in 36 driving scenarios at the bottom level. Each driving scenario is specified using a name, a label, a description, and a pictogram. The other layers give information about the street topology, the traffic infrastructure, the environmental conditions and available digital information. Additionally, further tags not represented by the 6-layer model can be specified.

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Keywords

Driving Scenario, Hi-Drive, Automated Driving

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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