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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Reschka, A. Bagschik, G. Ulbrich, S. Nolte, M. Maurer, M. |
| Copyright Year | 2015 |
| Description | Author affiliation: Inst. of Control Eng., Tech. Univ. Braunschweig, Braunschweig, Germany (Reschka, A.; Bagschik, G.; Ulbrich, S.; Nolte, M.; Maurer, M.) |
| Abstract | In this paper, the ability and skill graphs are introduced for modeling vehicle guidance systems in the concept phase of the development process (abilities), for online monitoring of system operation (skills), and to support driving decisions (skill levels) of automated road vehicles and advanced driver assistance systems. Both graphs rely on a decomposition of the human driving task. An ability is the entirety of conditions which are necessary to provide a certain part of the driving task. The ability graph can be developed in parallel to the item definition according to the ISO 26262 standard in the concept phase of the development process and can be used for supporting further development steps. A skill is defined as an abstract representation of a part of the driving task including information about the skills current performance. The skill graph is used to monitor the current system performance during operation and skill levels are input to driving decisions. Abilities and skills cover all aspects of the driving task including environment and self perception, data processing, decision making, and behavior execution. During operation of the developed item, the skill graph is instantiated as a (distributed) software component to process online information for assessing current skill levels. Each skill uses one or more performance metrics, which represent its current performance capability in relation to the maximum (inherent) ability level. The resulting information could replace the monitoring of the system by a human driver and can be used as an input to driving decisions of the vehicle to support appropriate and safe decisions. |
| Starting Page | 933 |
| Ending Page | 939 |
| File Size | 509681 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781467372664 |
| DOI | 10.1109/IVS.2015.7225804 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-28 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Monitoring Measurement Redundancy Acceleration Automation Safety |
| Content Type | Text |
| Resource Type | Article |
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