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

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

26 August 2020
Thomas Ponn
Matthias Breitfuss
Xiao Yu
Frank Diermeyer
ArXivPDFHTML

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

5 / 5 papers shown
Title
Critical concrete scenario generation using scenario-based falsification
Critical concrete scenario generation using scenario-based falsification
D. Karunakaran
J. S. Berrio
Stewart Worrall
E. Nebot
22
8
0
29 Aug 2022
Parameterisation of lane-change scenarios from real-world data
Parameterisation of lane-change scenarios from real-world data
D. Karunakaran
J. S. Berrio
Stewart Worrall
E. Nebot
19
4
0
20 Jun 2022
Automatic lane change scenario extraction and generation of scenarios in
  OpenX format from real-world data
Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data
D. Karunakaran
J. S. Berrio
Stewart Worrall
E. Nebot
14
10
0
14 Mar 2022
Toward Unsupervised Test Scenario Extraction for Automated Driving
  Systems from Urban Naturalistic Road Traffic Data
Toward Unsupervised Test Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data
N. Weber
Christoph Thiem
U. Konigorski
27
2
0
14 Feb 2022
Systematic Analysis of the Sensor Coverage of Automated Vehicles Using
  Phenomenological Sensor Models
Systematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models
Thomas Ponn
Fabian Müller
Frank Diermeyer
17
15
0
26 Aug 2020
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