SML4ADS: An Open DSML for Autonomous Driving Scenario Representation and GenerationVirtual
Autonomous Driving Systems (ADS) require extensive evaluation of safety before they can come onto the market. However, since relying solely on field testing is practically infeasible due to the impossibility to cover sufficient distances to ensure adequate safety, the focus shifted to scenario-based testing. In this paper, we proposed Scenario Modeling Language for Autonomous Driving (SML4ADS) as a Domain-Specific Modeling Language (DSML) for scenario representation and generation. Compared to other existing works, our approach simplifies the description of scenarios in a non-programming, user-friendly manner, allows modeling the uncertain behavior of vehicles in a scenario and generating executable scenario in CARLA. We apply SML4ADS in numerous typical scenarios to preliminarily demonstrate the effectiveness and feasibility of our approach in modeling and generating executable scenarios.
Thu 13 OctDisplayed time zone: Eastern Time (US & Canada) change
13:30 - 15:30 | Technical Session 28 - Safety-Critical and Self-Adaptive SystemsIndustry Showcase / Tool Demonstrations / Research Papers / Late Breaking Results / NIER Track at Room 128 Chair(s): Eunsuk Kang Carnegie Mellon University | ||
13:30 10mDemonstration | SAFA: A Tool for Supporting Safety Analysis in Evolving Software Systems Tool Demonstrations Alberto D. Rodriguez University of Notre Dame, Timothy Newman University of Notre Dame, Katherine R. Dearstyne University of Notre Dame, Jane Cleland-Huang University of Notre Dame | ||
13:40 20mResearch paper | Generating Critical Test Scenarios for Autonomous Driving Systems via Influential Behavior PatternsVirtual Research Papers Haoxiang Tian Institute of Software, Chinese Academy of Sciences, Guoquan Wu Institute of Software at Chinese Academy of Sciences, China, Jiren Yan Institute of Software, Chinese Academy of Sciences, Yan Jiang Institute of Software, Chinese Academy of Sciences, Jun Wei Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Wei Chen Institute of Software at Chinese Academy of Sciences, China, Shuo Li Institute of Software, Chinese Academy of Sciences, Dan Ye Institute of Software, Chinese Academy of Sciences | ||
14:00 20mResearch paper | Consistent Scene Graph Generation by Constraint OptimizationVirtual Research Papers Boqi Chen McGill University, Kristóf Marussy Budapest University of Technology and Economics, Sebastian Pilarski McGill University, Oszkár Semeráth Budapest University of Technology and Economics, Daniel Varro McGill University / Budapest University of Technology and Economics | ||
14:20 20mIndustry talk | A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial ProcessesVirtual Industry Showcase Firas Bayram Department of Mathematics and Computer Science, Karlstad University, Sweden, Bestoun S. Ahmed Karlstad University Sweden, Erik Hallin Uddeholms AB, Sweden, Anton Engman Uddeholms AB, Sweden Pre-print | ||
14:40 10mPaper | SML4ADS: An Open DSML for Autonomous Driving Scenario Representation and GenerationVirtual Late Breaking Results Bo Li East China Normal University, Dehui Du East China Normal University, Sicong Chen East China Normal University, Minjun Wei East China Normal University, Chenghang Zheng East China Normal University, Xinyuan Zhang East China Normal University | ||
14:50 10mVision and Emerging Results | XSA: eXplainable Self-AdaptationVirtual NIER Track Matteo Camilli Free University of Bozen-Bolzano, Raffaela Mirandola Politecnico di Milano, Patrizia Scandurra University of Bergamo, Italy File Attached | ||
15:00 20mIndustry talk | Design-Space Exploration for Decision-Support Software Industry Showcase Ate Penders Thales Research & Technology, Ana Lucia Varbanescu University of Twente, Gregor Pavlin Thales Research & Technology, Henk Sips Delft University of Technology | ||