LEADER 02301nam 2200385 450 001 9910642291103321 005 20230327211658.0 024 7 $a10.5445/KSP/1000152393 035 $a(CKB)5850000000317402 035 $a(NjHacI)995850000000317402 035 $a(EXLCZ)995850000000317402 100 $a20230327d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMeasurable safety of automated driving functions in commercial motor vehicles $etechnological and methodical approaches /$fMohamed Elgharbawy 210 1$aKarlsruhe :$cKIT Scientific Publishing,$d2023. 215 $a1 online resource (269 pages) 311 $a1000152393 327 $aVorwort des Herausgebers i -- Kurzfassung . iii -- Abstract v -- Acknowledgement vii -- 1 Introduction 1 -- 2 Safety Assurance in the Open Context . 19 -- 3 State-of-the-Art and Research Perspectives 59 -- 4 Hardware-in-the-Loop Simulation . 85 -- 5 Data-driven Scenario Extraction . 111 -- 6 Operational Design Domain Coverage 129 -- 7 Reliability Analysis Using Sampling Methods . 147 -- 8 Conclusions 161 -- 9 Glossary 167 -- List of Figures 185 -- List of Tables . 191 -- Bibliography . 193 -- Project-Related Publications . 23. 330 $aWith the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria. 606 $aAutomobiles$xSafety measures$vongresses 606 $aMotor vehicles$xSafety measures$vongresses 615 0$aAutomobiles$xSafety measures 615 0$aMotor vehicles$xSafety measures 676 $a629.231 700 $aElgharbawy$b Mohamed$01346811 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910642291103321 996 $aMeasurable safety of automated driving functions in commercial motor vehicles$93078839 997 $aUNINA