This content is not included in your SAE MOBILUS subscription, or you are not logged in.
A Platform for Quick Development, Simulation and Test of Autonomous Driving Vehicles
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 14, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
This paper proposes a platform to conduct rapid development, simulation and test of autonomous driving vehicles. By combining the advantages of rapid prototyping and software development, the proposed platform could automatically generate codes and download them into domain controllers, therefore the efficiency of development process of the core functions of ADAS can be largely improved. The platform is made up of scene simulation, vehicle dynamics simulation software, a rapid prototyping system, a chassis drive-by-wire control and road-load simulation system. Meaningful tasks including key algorithm development, MIL simulations, domain controller based HIL tests and the development of drive-by-wire systems can all be accomplished by the platform. Since that the E/E architecture of vehicles, intra-vehicle communication and physical characteristics of drive-by-wire systems are well considered, the platform ensures that the developed domain controllers can be directly deployed to road tests of autonomous driving vehicles. In the recent I-VISTA challenge competition of autonomous driving vehicles, the quickness and efficiency of the functional modules were field proved. Besides, a comprehensive suite of ADAS functions tests was passed and awarded a second prize, which further verifies the effectiveness of the proposed platform. In the future, the platform has great potential of propelling the productization of autonomous driving vehicles.
CitationQiong, W., Man, A., Wei, L., and Bing, L., "A Platform for Quick Development, Simulation and Test of Autonomous Driving Vehicles," SAE Technical Paper 2020-01-0713, 2020, https://doi.org/10.4271/2020-01-0713.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
- Sayer, J.R. , “Adaptive Cruise Control (ACC) Operating Characteristics and User Interface: Standard J2399,” SAE Technical Paper 2014-09-25, 2014-09, https://doi.org/10.4271/2014-09-25.
- Forkenbrock, G.J. and Snyder, A.S. , “NHTSA’s 2014 Automatic Emergency Braking Test Track Evaluations[R],” NHTSA, Washington DC, June 2015.
- ISO. IEC. IEEE , “Systems and Software Engineering-Vocabulary: ISO/IEC/IEEE24765,” IEEE Computer Society, Piscataway, 2010-12.
- Deering, R.K. , “Crash Avoidance Metrics Partnership Annual Report, April 2001-March 2002[R],” NHTSA, Washington DC, 2002.
- Shane, B.McL., Hankey, J.M., Dingus, T.A. et al. “Development of an FCW Algorithm Evaluation Methodology with Evaluation of Three Alert Algorithms[R],” NHTSA, Washington DC, 2009-06.
- James, M. , “Cooperative Intersection Collision Avoidance System (CICAS): Signalized Left Turn Assist and Traffic Signal Adaptation[R],” University of California, Berkeley, Berkeley, June 2010.
- Lemmen, P., Fagerlind, H., Unselt, T. et al. , “Assessment of Integrated Vehicle Safety Systems for Improved Vehicle Safety[J],” Procedia - Social and Behavioral Sciences 48(2307):1632-1641, 2012.
- Scholliers, J., Blosseville, J.M., Anttila, V. et al. “IP D10 Analysis and Results of Validation Procedures for Preventive and Active Safety Functions[R],” PReVENT Consortium, Sindelfingen, Germany, 2007.
- Larsson, P., Esberg, I., Van Noort, M. et al. “Test and Evaluation Plans[R],” Interactive Consortium, Aachen, Germany, 2012.
- Ulbrich, S., Menzel, T., Reschka, A. et al. “Defining and Substantiating the Terms Scene, Situation, and Scenario for Automated Driving,” in International Conference on Intelligent Transportation Systems, IEEE, Las Palmas, Spain, 2015, 982-988.
- The DARPA Challenge , DARPA grand challenge, http://www.grandchallenge.org/, November 3, 2007.
- Roesener, C., Fahrenkrog, F., Uhlig, A. et al. “A Scenario-Based Assessment Approach for Automated Driving by Using Time Series Classification of Human-Driving Behavior,” in International Conference on Intelligent Transportation Systems, IEEE, Rio de Janeiro, Brazil, 2016, 1360-1365.
- PEGASUS Joint Project , PEGASUS, http://www.pegasusprojekt.de/de/, October 2017.
- Geyer, S., Baltzer, M., Franz, B. et al. , “Concept and Development of a Unified Ontology for Generating Test and Use-Case Catalogues for Assisted and Automated Vehicle Guidance[J],” IET Intelligent Transport Systems 8(3):183-189, 2013.
- Ziegler, J., Bender, P., Schreiber, M. et al. , “Making Bertha Drive - An Autonomous Journey on a Historic Route[J],” IEEE Intelligent Transportation Systems Magazine 6(2):8-20, 2014.
- Google , “On the Road to Fully Self-Driving Waymo Safety Report[R/OL],” October 2017, https://storage.googleapis.com/sdc-prod/v1/safety-report/waymo-safety-report-2017-10.pdf.
- NHTSA . “Traffic Safety Facts 2013[R],” Washington DC, 2013.
- Koopman, P. and Wagner, M. , “Challenges in Autonomous Vehicle Testing and Validation[J],” SAE International Journal of Transportation Safety 4(1):15-24, 2016.
- Gietelink, O.J. , “Design and Validation of Advanced Driver Assistance Systems[D],” Delft University of Technology, Trail Research School, Delft, Netherlands, 2007.
- Gruyer, D., Pechberti, S., and Glaser, S. , “Development of Full Speed Range ACC with SiVIC, a Virtual Platform for ADAS Prototyping, Test and Evaluation,” in Intelligent Vehicles Symposium, IEEE, 2013, 100-105.
- Rossetti, R.J.F. , “An Integrated Architecture for Autonomous Vehicles Simulation,” in ACM Symposium on Applied Computing, ACM, 2012, 286-292.
- OpenScenario , “VIRES Simulations Technology GmbH,” September 26, 2017, http://www.openscenario.org/project.html.
- Noth, S., Edelbrunner, J., and Iossifidis, I. , “An Integrated Architecture for the Development and Assessment of ADAS,” in International IEEE Conference on Intelligent Transportation Systems, IEEE, 2012, 347-354.
- Buhren, M., Yang, B. , “Simulation of Automotive Radar Target Lists Using a Novel Approach of Object Representation,” in Intelligent Vehicles Symposium,” IEEE, 2006, 314-319.
- Joshi, A. and Joshi, A. , “Powertrain and Chassis Hardware-in-the-Loop (HIL) Simulation of Autonomous Vehicle Platform,” in Intelligent and Connected Vehicles Symposium, SAE, Kunshan, China, 2017.
- Miquet, C. , “New Test Method for Reproducible Real-Time Tests of ADAS ECUs: “Vehicle-in-the-Loop” Connects Real-World Vehicles with the Virtual World,” in International Munich Chassis Symposium 2014, Chassis Tech Plus, Munich, Germany, 2014, 575-589.
- Gibson, T. , “Virginia’s Smart Road: Where Researchers Make the Extreme Weather[J],” Weatherwise 68(4):20-27, 2015.
- Jacobson, J., Janevik, P., and Wallin, P. , “Challenges in Creating AstaZero, the Active Safety Test Area,” in Transport Research Arena (TRA) 5th Conference, Transport Research Arena (TRA), Paris, France, 2014, 14-20.
- Briefs, U. , “Mcity Grand Opening[J],” The Umtri Research Review 46(3):1, 2015.
- Wachenfeld, W. and Winner, H. , The Release of Autonomous Vehicles, Autonomous Driving[M] (Berlin, Heidelberg, Germany: Springer, 2016), 425-449.
- Eckstein, L. and Zlocki, A. , “Safety Potential of ADAS-Combined Methods for an Effective Evaluation,” in 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV), Seoul, South Korea, 2013, 13-0391-W.
- Tatar, M. and Mauss, J. , “Systematic Test and Validation of Complex Embedded Systems,” in Embedded Real Time Software and Systems, Toulouse, France, 2014.
- Zhao, D. , “Accelerated Evaluation of Automated Vehicles[D],” University of Michigan, Michigan, United States, 2016.