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Methodology for Evaluation: AUTOPILOT Deliverable D.4.1
Bart Netten
*
,
Elina Aittoniemi
, Yvonne Barnard
,
Maija Federley
, Lila Gaitanidou
, Georgios Karagiannis
, Viktoriya Kolarova
, Olivier Lenz
, Jordi Pont Rañé
, Benedikt van den Boom
, Ralf Willenbrock
*
Corresponding author for this work
Netherlands Organisation for Applied Scientific Research (TNO)
University of Leeds
Centre for Research and Technology Hellas (CERTH)
Huawei Technologies Co., Ltd.
German Aerospace Center (DLR)
Fédération Internationale de l’Automobile (FIA)
Applus+ IDIADA
T-Systems International GmbH
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Keyphrases
Evaluation Method
100%
Internet of Things
100%
Automated Driving
66%
Evaluation Task
66%
Measure Data
33%
User Acceptance
33%
Key Performance Indicators
33%
Technical Assessment
33%
Evaluation Criteria
33%
Quality of Life
33%
FESTA
33%
Data Management
33%
Cooperative Driving
33%
Business Impact
33%
Log Data
33%
Potential Improvement
33%
Automated Driving Functions
33%
Key Performance Measurement
33%
Data Provisioning
33%
Site-specific Assessment
33%
Performance Log
33%
Specification Management
33%
Indicator Measurement
33%
Evaluation Perspectives
33%
Computer Science
Use Case
100%
Internet-Of-Things
75%
Research Question
50%
Evaluation Methodology
50%
User Acceptance
25%
Key Performance Indicator
25%
Business Impact
25%
Log Data
25%
Starting Point
25%
Data Management
25%
Measurement Data
25%
Evaluation Criterion
25%
INIS
evaluation
100%
data
27%
internet
27%
values
18%
implementation
18%
indicators
9%
performance
9%
assessments
9%
business
9%
management
9%
guidelines
9%
specifications
9%
cooperatives
9%
hypothesis
9%
quality of life
9%
Engineering
Internet-Of-Things
100%
Pilot Test
33%
Improvement Potential
33%
Starting Point
33%
Key Performance Indicator
33%
Economics, Econometrics and Finance
Aviation Employees
100%
Value Added
33%
Performance Measurement
16%