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Title:

Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data

Document type:
Konferenzbeitrag
Author(s):
Ponn, Thomas; Breitfus, Matthias; Yu, Xiao; Diermeyer, Frank
Abstract:
For a successful market launch of automated vehicles (AVs), proof of their safety is essential. Due to the open parameter space, an infinite number of traffic situations can occur, which makes the proof of safety an unsolved problem. With the so-called scenario-based approach, all relevant test scenarios must be identified. This paper introduces an approach that finds particularly challenging scenarios from real driving data (RDD) and assesses their difficulty using a novel metric. Starting from...     »
Keywords:
FTM Fahrerassistenz und Sicherheit; FTM Automatisiertes Fahren
Book / Congress title:
2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
Publisher:
IEEE
Date of publication:
10.09.2020
Year:
2020
Covered by:
Scopus
Print-ISBN:
9781728156415
Language:
en
Fulltext / DOI:
doi:10.1109/ever48776.2020.9242539
TUM Institution:
Lehrstuhl für Fahrzeugtechnik
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