Abstract
This paper focuses on systematical evaluation of Advanced Driver Assistance Systems and Automated Driving Functions. To overcome the curse of dimensionality we propose to use a test case catalogue, which is proven to have a good coverage of critical traffic situation. Secondly, a method for assessment of safety performance is introduced. It is based on evaluating the performance limit of automated vehicle in a given test case and relating it to its overall exposure rate in real world traffic situations. Through a case study, the parametrization and generation of test scenarios and evaluation for an ADAS(ACC) system is presented.
Original language | English |
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Title of host publication | The 2018 American Control Conference |
Number of pages | 6 |
Publication status | Published - Jun 2018 |
Fields of science
- 206002 Electro-medical engineering
- 207109 Pollutant emission
- 202 Electrical Engineering, Electronics, Information Engineering
- 202027 Mechatronics
- 202034 Control engineering
- 203027 Internal combustion engines
- 206001 Biomedical engineering
JKU Focus areas
- Mechatronics and Information Processing