Quality assurance methodologies for automated driving
Tóm tắt
Từ khóa
Tài liệu tham khảo
ISO (2011): ISO 26262—road vehicles—functional safety. International organization for standardization.
De.mathworks.com (n.d.): Automated Driving System Toolbox, [online]. Available at: https://de.mathworks.com/products/automated-driving.html . [Accessed 28 Feb. 2018].
Fayolle, G., Raffaëlli, L., Vallée, F., De Souza, P., Rouah, X., Pfeiffer, M., Géronimi, S., Petront, F., Ahiad, S. (2016): Facing ADAS validation complexity with usage-oriented testing. In 8th European congress embedded real time software.
Nvidianews.nvidia.com (2018): NVIDIA announces worlds first functionally safe ai self-driving platform, [online]. Available at: https://nvidianews.nvidia.com/news/nvidia-announces-worlds-first-functionally-safe-ai-self-driving-platform .2018. [Accessed, 28 Feb. 2018].
Esch, S., Lang, B. (2008): Elektronik- und Vernetzungsarchitektur mit gesteigerter Leistungsfähigkeit. In ATZextra (pp. 194–199).
Lammering, D., Balbierer, N., Abdulkhaleq, A. (2016): Automatisiertes Fahren: Keimzelle neuer Architekturkonzepte. In Hanser automotive 11–12/2016, pp. 34–37).
Safetyengineering.worldpress.com (2008): Systematic and random failure [online]. Available at: 2018. https://safetyengineering.wordpress.com/2008/04/09/systematic-and-random-failure/ . [Accessed 28 Feb. 2018].
Kelemen, Z. D., Trienekens, J., Kusters, R. J., Balia, K. (2009): A process based unification of process-oriented software quality approaches. In 4th IEEE international conference global software engineering (pp. 285–288).
ISO (2016): ISO/AWI PAS 21448—road vehicles—safety of the intended functionality. International organization for standardization.
Nidhi, K., Paddock, S. (2016): Driving to safety: how many miles of driving would it take to demonstrate autonomous vehicle reliability? Transp. Res., Part A, Policy Pract., 94, 182–193.
Bozzano, M., Villafiorita, A. (2010): Design and safety assessment of critical systems. Florida: CRC Press.
Aljazzar, H., Fischer, M., Grunske, L., Kuntz, M., Leitner-Fischer, F., Leue, S. (2009): Safety analysis of an airbag system using probabilistic FMEA and probabilistic counterexamples. In Quantitative evaluation of systems, 6th international conference on quantitative evaluation of systems (pp. 299–308).
Sotiropoulos, T., Waeselynck, H., Guiochet, J., Ingrand, F. (2017): Can robot navigation bugs be found in simulation? An exploratory study. In IEEE international conference on software quality, reliability and security (pp. 150–159).
Blanke, M., Staroswiecki, M., Wu, E. (2001): Concepts and methods in fault-tolerant control. In Proceedings of the American control conference (Vol. 4, pp. 2606–2620).
Huang, X., Kwiatkowska, M., Wang, S., Wu, M. (2017): Safety verification of deep neural networks. In 29th international conference on computer aided verification (pp. 3–29).
Jobstmann, B., Griesmayer, A., Bloem, R. (2005): Program repair as a game. In International conference on computer aided verification (pp. 226–238).
Brandstotter, M., Hofbaur, M. W., Steinbauer, G., Wotawa, F. (2007): Model-based fault diagnosis and reconfiguration of robot drives. In Proceedings of the IEEE international conference on intelligent robots and systems (pp. 1203–1209).
Yamaura, M., Arechiga, N., Shiraishi, S., Eisele, S., Hite, J., Neema, S., Scott, J., Bapty, T. (2016): ADAS virtual prototyping using modelica and unity co-simulation via OpenMETA. In Japanese modelica conference (pp. 43–48).
Openrobots.org (n.d.): The MORSE simulator documentation, [online]. Available at: https://www.openrobots.org/morse/doc/stable/morse.html . [Accessed 28 Feb. 2018].
AutoFOCUS3 (n.d.): AutoFOCUS 3. Available at: https://af3.fortiss.org/ . [Accessed 28. Feb. 2018].
Osate.org. (2018): OSATE 2.3.1 documentation, [online]. Available at: 2018. http://osate.org/about-osate.html . [Accessed 28 Feb. 2018].
Esk.frauenhofer.de (2015): ERNEST, Early verification and validation of networked embedded systems, [online]. Available at: https://www.esk.fraunhofer.de/content/dam/esk/dokumente/PDB-ERNEST-dt.pdf . [Accessed 28 Feb. 2018].
PolarSys.org (n.d.): Open platform for evolutionary certification of safety-critical systems, [online]. Available at: https://www.polarsys.org/proposals/opencert . [Accessed 28 Feb. 2018].
PolarSys.org (n.d.): Eclipse safety framework, [online]. Available at: http://www.polarsys.org/esf/ . [Accessed 28 Feb. 2018].
Unisim-vp.org (n.d.): UNISIM virtual platforms, [online]. Available at: http://unisim-vp.org/site/index.html . [Accessed 28 Feb. 2018].
Leveson, N. G. (2004): A systems-theoretic approach to safety in software-intensive systems. IEEE Trans. Dependable Secure Comput., 1(1), 66–86.
Dynacar RT (n.d.): Dynacar RT. Available at: http://dynacar.es . [Accessed 28. Feb. 2018].
Aravantinos, V., Voss, S., Teufl, S., Hölzl, F., Schätz, B. (2015): AutoFOCUS 3: tooling concepts for seamless, model-based development of embedded systems. In ACES-MB&WUCOR@MoDELS (pp. 19–26).
VTD (n.d): Virtual test drive, [online]. Available at: http://www.vires.com/products.html . [Accessed 07. Mar. 2018].
TASS International (n.d.): PreScan, [online]. Available at: https://tass.plm.automation.siemens.com/prescan . [Accessed 14. Mar. 2018].
IPG Automotive (n.d.): CarMaker, [online]. Available at: https://ipg-automotive.com/products-services/simulation-software/carmaker . [Accessed 14. Mar. 2018].
Unreal Engine (n.d.): Unreal engine, [online]. Available at: http://unrealengine.com . [Accessed 14. June 2018].
Weiss, G., Grigoleit, F., Struss, P. (2013): Context modeling of dynamic configuration of automotive functions. In 16th international IEEE conference on intelligent transportation systems (pp. 839–844).
Ruiz, A., Juez, G., Schleiss, P., Weiss, G. (2015): A safe generic adaption mechanism for smart cars. In 16th IEEE international symposium on software reliability engineering (ISSRE) (pp. 161–171).
Schneider, D., Trapp, M. (2013): Conditional safety certification of open adaptive systems. ACM Trans. Auton. Adapt. Syst., 8(2), 8–20.
Bosch, J., Holstöm-Olsson, H. (2016): Data driven continuous evolution of smart systems. In 11th IEEE/ACM international symposium on software engineering for adaptive and self-managing systems (pp. 28–34).
Dymola (n.d.): Dynamic modeling labaratory, [online]. Available at: https://www.3ds.com/de/produkte-und-services/catia/produkte/dymola/ . [Accessed 07. July 2018].