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Document type:
Konferenzbeitrag 
Author(s):
Ponn, Thomas; Breitfus, Matthias; Yu, Xiao; Diermeyer, Frank 
Title:
Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data 
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 
TUM Institution:
Lehrstuhl für Fahrzeugtechnik