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Coverage Metrics for a Scenario Database for the Scenario-Based
  Assessment of Automated Driving Systems

Coverage Metrics for a Scenario Database for the Scenario-Based Assessment of Automated Driving Systems

2 September 2024
Erwin de Gelder
Maren Buermann
Olaf Op den Camp
ArXivPDFHTML

Papers citing "Coverage Metrics for a Scenario Database for the Scenario-Based Assessment of Automated Driving Systems"

3 / 3 papers shown
Title
Real-World Scenario Mining for the Assessment of Automated Vehicles
Real-World Scenario Mining for the Assessment of Automated Vehicles
Erwin de Gelder
J. Manders
Corrado Grappiolo
J. Paardekooper
Olaf Op den Camp
B. de Schutter
39
21
0
31 May 2020
Towards an Ontology for Scenario Definition for the Assessment of
  Automated Vehicles: An Object-Oriented Framework
Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework
E. de Gelder
J. Paardekooper
A. Saberi
H. Elrofai
O. Op den Camp.
Steven B. Kraines
J. Ploeg
B. de Schutter
32
48
0
30 Jan 2020
How Much Data is Enough? A Statistical Approach with Case Study on
  Longitudinal Driving Behavior
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior
Wenshuo Wang
Chang-rui Liu
Ding Zhao
44
82
0
23 Jun 2017
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