mlsanityData to 7 Oct 2026

Scenarios for Development, Test and Validation of Automated Vehicles

arXiv 1801.08598 ↗First posted 5 Jan 2018cs.SEcited by 45

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Abstract (arXiv)

The ISO 26262 standard from 2016 represents the state of the art for a safety-guided development of safety-critical electric/electronic vehicle systems. These vehicle systems include advanced driver assistance systems and vehicle guidance systems. The development process proposed in the ISO 26262 standard is based upon multiple V-models, and defines activities and work products for each process step. In many of these process steps, scenario based approaches can be applied to achieve the defined work products for the development of automated driving functions. To accomplish the work products of different process steps, scenarios have to focus on various aspects like a human understandable notation or a description via time-space variables. This leads to contradictory requirements regarding the level of detail and way of notation for the representation of scenarios. In this paper, the authors present requirements for the representation of scenarios in different process steps defined by the ISO 26262 standard, propose a consistent terminology based on prior publications for the identified levels of abstraction, and demonstrate how scenarios can be systematically evolved along the phases of the development process outlined in the ISO 26262 standard.

Key facts. Cited by 45 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jan 2018.

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Citing papers per year: 2021: 7; 2022: 5; 2023: 8; 2024: 7; 2025: 12; 2026: 6.

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  1. 2022Exploiting symmetry in variational quantum machine learningcited by 68
  2. 2024Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?cited by 38
  3. 2025Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysiscited by 37
  4. 2021Description of Corner Cases in Automated Driving: Goals and Challengescited by 35
  5. 2023Learning Realistic Traffic Agents in Closed-loopcited by 24
  6. 2021A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulationcited by 21
  7. 2021Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehiclescited by 19
  8. 2025Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Testcited by 18
  9. 2021Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Reviewcited by 12
  10. 2023RiskBench: A Scenario-based Benchmark for Risk Identificationcited by 12
  11. 2024Learning to Drive via Asymmetric Self-Playcited by 11
  12. 2021A Review of Testing Object-Based Environment Perception for Safe Automated Drivingcited by 9
33 more
  1. 2023Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domaincited by 8
  2. 2023A Scenario-Based Functional Testing Approach to Improving DNN Performancecited by 7
  3. 2023(Re)2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learningcited by 6
  4. 2025Make Full Use of Testing Information: An Integrated Accelerated Testing and Evaluation Method for Autonomous Driving Systemscited by 4
  5. 2025On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehiclescited by 4
  6. 2021Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similaritycited by 3
  7. 2024Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairnesscited by 3
  8. 2021Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarioscited by 2
  9. 2022ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Drivingcited by 2
  10. 2024Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learningcited by 2
  11. 2022An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarioscited by 1
  12. 2022Learning Critical Scenarios in Feedback Control Systems for Automated Drivingcited by 1
  13. 2024LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantizationcited by 1
  14. 2025Learning Isometric Embeddings of Road Networks using Multidimensional Scalingcited by 1
  15. 2025A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Drivingcited by 1
  16. 2025An Evolving Scenario Generation Method based on Dual-modal Driver Model Trained by Multi-Agent Reinforcement Learningcited by 1
  17. 2025DiCriTest: Testing Scenario Generation for Decision-Making Agents Considering Diversity and Criticalitycited by 1
  18. 2022LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantizationcited by 0
  19. 2023Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulationscited by 0
  20. 2023Vectorized Scenario Description and Motion Prediction for Scenario-Based Testingcited by 0
  21. 2023VALERIE22 -- A photorealistic, richly metadata annotated dataset of urban environmentscited by 0
  22. 2024Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Drivingcited by 0
  23. 2024An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Drivingcited by 0
  24. 2025MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validationcited by 0
  25. 2025Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Modelscited by 0
  26. 2025Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarioscited by 0
  27. 2025Scalable Offline Metrics for Autonomous Drivingcited by 0
  28. 2026Declarative Scenario-based Testing with RoadLogiccited by 0
  29. 2026TRACER: Training-Free Closed-Loop Structured Inference for Traffic Accident Reconstructioncited by 0
  30. 2026From Operational Design Domain to Action: A Systematic Behavioral Taxonomy for Autonomous Drivingcited by 0
  31. 2026SSP: An Event-Matched Syn2Sim2Phy Cross-Domain Evaluation Framework for Autonomous Driving VLA Modelscited by 0
  32. 2026SAFARI: An Industrial Benchmark for LLM-Assisted Hazard Analysis and Risk Assessmentcited by 0
  33. 2026Evaluating Physical Consistency and Plausibility in Generative Scenario Models for Autonomous Drivingcited by 0