Application of AdaptIVe Evaluation Methodology.
(2017)- Abstract
- Since the last decade, development efforts by academia and industry for automated driving functions have increased significantly. Also, the European research project AdaptIVe is looking into this topic. Within AdaptIVe, 21 different automated driving functions for different speed ranges and target areas have been developed. They have been developed in three sub projects (SPs), addressing different automation scenarios:
Sub project 4: Automation in close-distance scenarios: Addresses manoeuvres at low speed (below 30 km/h) that are characterised by the presence of close obstacles, such as in parking manoeuvres.
Sub project 5: Automation in urban scenarios: Deals with driving scenarios in urban environments that are characterised by... (More) - Since the last decade, development efforts by academia and industry for automated driving functions have increased significantly. Also, the European research project AdaptIVe is looking into this topic. Within AdaptIVe, 21 different automated driving functions for different speed ranges and target areas have been developed. They have been developed in three sub projects (SPs), addressing different automation scenarios:
Sub project 4: Automation in close-distance scenarios: Addresses manoeuvres at low speed (below 30 km/h) that are characterised by the presence of close obstacles, such as in parking manoeuvres.
Sub project 5: Automation in urban scenarios: Deals with driving scenarios in urban environments that are characterised by an average speed range of 0 to 70 km/h.
Sub project 6: Automation in highway scenarios: Addresses motorway scenarios (or motorway similar roads) considering velocities up to 130 km/h.
Due to the large operation spaces and various complex situations that are covered by these functions, efforts for evaluation are expected to increase significantly. In order to enable an efficient assessment of automated driving functions, within the subproject 7 a comprehensive evaluation methodology addressing this challenge has been developed.
Technical Assessment: Evaluates the performance of the developed automated driving functions with respect to a defined baseline.
User-related Assessment: Analyses the interaction between the function and the user, trust, usability as well as acceptance of the developed functions.
In-Traffic Assessment: Focuses on the effects of the surrounding traffic on the automated driving function as well as the effects of the automated driving function on the surrounding non-users.
Impact Assessment: Determines the potential effects of the function with respect to safety and environmental aspects (e.g. fuel consumption, traffic efficiency).
The evaluation methodologies developed in previous research projects dealt mainly with active safety functions, for which the assessment focused mainly on testing of functions’ use cases. For automated driving the assessment approach needs to be extended in order to ensure that the whole situation space which is addressed by the functions is covered. Therefore, in the developed evaluation approach the test resources are allocated based on the functions’ classification in order to enable a holistic and efficient assessment. Hence, the automated driving functions are classified based on their automation level and their operation time in two different function types:
•Functions that operate only for a short period of time (seconds up to few minutes). Typical examples are automated parking functions and the minimum risk manoeuvre function. These functions are called "event based”.
•Functions that, once they are active, can operate over a longer period of time (minutes up to hours). A typical example of this type of function is a “highway pilot”. They are called "continuously operating" functions.
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Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5568b984-6117-41c2-bd1e-000d517a7916
- author
- Rösener, Christian ; Sauerbier, Jan ; Varhelyi, Andras LU ; de Gelder, Erwin and Mejuto, Pablo
- organization
- alternative title
- Tillämpning av AdaptIVe utvärderingsmetodik.
- publishing date
- 2017-06-28
- type
- Book/Report
- publication status
- published
- subject
- keywords
- evaluation, automated driving functions, technical assessment, user-related assessment, impact assessment
- pages
- 164 pages
- publisher
- AdaptIVe Consortium within the EU 7th Framework Program
- language
- English
- LU publication?
- yes
- id
- 5568b984-6117-41c2-bd1e-000d517a7916
- date added to LUP
- 2017-09-26 16:04:39
- date last changed
- 2021-03-22 18:24:20
@techreport{5568b984-6117-41c2-bd1e-000d517a7916,
abstract = {{Since the last decade, development efforts by academia and industry for automated driving functions have increased significantly. Also, the European research project AdaptIVe is looking into this topic. Within AdaptIVe, 21 different automated driving functions for different speed ranges and target areas have been developed. They have been developed in three sub projects (SPs), addressing different automation scenarios:<br/>Sub project 4: Automation in close-distance scenarios: Addresses manoeuvres at low speed (below 30 km/h) that are characterised by the presence of close obstacles, such as in parking manoeuvres.<br/>Sub project 5: Automation in urban scenarios: Deals with driving scenarios in urban environments that are characterised by an average speed range of 0 to 70 km/h.<br/>Sub project 6: Automation in highway scenarios: Addresses motorway scenarios (or motorway similar roads) considering velocities up to 130 km/h. <br/>Due to the large operation spaces and various complex situations that are covered by these functions, efforts for evaluation are expected to increase significantly. In order to enable an efficient assessment of automated driving functions, within the subproject 7 a comprehensive evaluation methodology addressing this challenge has been developed. <br/>Technical Assessment: Evaluates the performance of the developed automated driving functions with respect to a defined baseline.<br/>User-related Assessment: Analyses the interaction between the function and the user, trust, usability as well as acceptance of the developed functions.<br/>In-Traffic Assessment: Focuses on the effects of the surrounding traffic on the automated driving function as well as the effects of the automated driving function on the surrounding non-users.<br/>Impact Assessment: Determines the potential effects of the function with respect to safety and environmental aspects (e.g. fuel consumption, traffic efficiency).<br/>The evaluation methodologies developed in previous research projects dealt mainly with active safety functions, for which the assessment focused mainly on testing of functions’ use cases. For automated driving the assessment approach needs to be extended in order to ensure that the whole situation space which is addressed by the functions is covered. Therefore, in the developed evaluation approach the test resources are allocated based on the functions’ classification in order to enable a holistic and efficient assessment. Hence, the automated driving functions are classified based on their automation level and their operation time in two different function types: <br/>•Functions that operate only for a short period of time (seconds up to few minutes). Typical examples are automated parking functions and the minimum risk manoeuvre function. These functions are called "event based”.<br/>•Functions that, once they are active, can operate over a longer period of time (minutes up to hours). A typical example of this type of function is a “highway pilot”. They are called "continuously operating" functions.<br/><br/>}},
author = {{Rösener, Christian and Sauerbier, Jan and Varhelyi, Andras and de Gelder, Erwin and Mejuto, Pablo}},
institution = {{AdaptIVe Consortium within the EU 7th Framework Program}},
keywords = {{evaluation; automated driving functions; technical assessment; user-related assessment; impact assessment}},
language = {{eng}},
month = {{06}},
title = {{Application of AdaptIVe Evaluation Methodology.}},
year = {{2017}},
}