Conference paper Open Access

Common Methodology for Data-Driven Scenario-Based Safety Assurance in the HEADSTART Project

Wagener, Nicolas

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5358057", 
  "author": [
      "family": "Wagener, Nicolas"
  "issued": {
    "date-parts": [
  "abstract": "<p>One objective of introducing Connected and Automated Driving (CAD) functions on the roads is to<br>\nreduce&nbsp; the&nbsp; number&nbsp; of&nbsp; accidents&nbsp; due&nbsp; to&nbsp; human&nbsp; errors&nbsp; by&nbsp; reducing&nbsp; the&nbsp; tasks&nbsp; of&nbsp; the&nbsp; driver&nbsp; (partial<br>\nautomation) or removing it completely from the driving system. Building safe and reliable automated<br>\nvehicles require specific testing methods that are adapted to higher levels of automation. Harmonised<br>\nEuropean&nbsp; Solutions&nbsp; for&nbsp; Testing&nbsp; Automated&nbsp; Road&nbsp; Transport&nbsp; (HEADSTART)&nbsp; is&nbsp; a&nbsp; research&nbsp; project<br>\nfunded&nbsp; by&nbsp; the&nbsp; European&nbsp; Union&nbsp; that&nbsp; aims&nbsp; to&nbsp; define&nbsp; testing&nbsp; and&nbsp; validation&nbsp; procedures&nbsp; for&nbsp; CAD<br>\nfunctions.&nbsp; HEADSTART&nbsp; brings&nbsp; a&nbsp; methodology&nbsp; for&nbsp; testing&nbsp; and&nbsp; validating&nbsp; these&nbsp; functions&nbsp; with<br>\nData-Driven Scenario-Based Safety Assurance. The goal of this paper is first to present the overall<br>\nHEADSTART methodology for validating CAD safety, and then further explain three aspects of it,<br>\nsuch as: The database mechanics to extract and parametrize logical scenarios, the relevance metrics for<br>\nthe selection of scenarios, and the allocation of scenarios for test execution.</p>", 
  "title": "Common Methodology for Data-Driven Scenario-Based Safety Assurance in  the HEADSTART Project", 
  "type": "paper-conference", 
  "id": "5358057"
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