mlsanityData to 7 Oct 2026

Ontology based Scene Creation for the Development of Automated Vehicles

arXiv 1704.01006 ↗First posted 29 Mar 2017cs.AI cs.ROcited by 40

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Abstract (arXiv)

The introduction of automated vehicles without permanent human supervision demands a functional system description, including functional system boundaries and a comprehensive safety analysis. These inputs to the technical development can be identified and analyzed by a scenario-based approach. Furthermore, to establish an economical test and release process, a large number of scenarios must be identified to obtain meaningful test results. Experts are doing well to identify scenarios that are difficult to handle or unlikely to happen. However, experts are unlikely to identify all scenarios possible based on the knowledge they have on hand. Expert knowledge modeled for computer aided processing may help for the purpose of providing a wide range of scenarios. This contribution reviews ontologies as knowledge-based systems in the field of automated vehicles, and proposes a generation of traffic scenes in natural language as a basis for a scenario creation.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Mar 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 5; 2023: 8; 2024: 10; 2025: 5; 2026: 7.

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  1. 2024ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehiclescited by 92
  2. 2022SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehiclescited by 65
  3. 2023Synthetic Datasets for Autonomous Driving: A Surveycited by 48
  4. 2024Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?cited by 38
  5. 2021Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safetycited by 35
  6. 2021A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulationcited by 21
  7. 2021Towards Traffic Scene Description: The Semantic Scene Graphcited by 12
  8. 2022Using Ontologies for the Formalization and Recognition of Criticality for Automated Drivingcited by 12
  9. 2021A Review of Testing Object-Based Environment Perception for Safe Automated Drivingcited by 9
  10. 2022A Survey on Knowledge Graph-based Methods for Automated Drivingcited by 8
  11. 2023Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domaincited by 8
  12. 2023(Re)2H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learningcited by 6
28 more
  1. 2025Make Full Use of Testing Information: An Integrated Accelerated Testing and Evaluation Method for Autonomous Driving Systemscited by 4
  2. 2023How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?cited by 3
  3. 2023SAFR-AV: Safety Analysis of Autonomous Vehicles using Real World Data -- An end-to-end solution for real world data driven scenario-based testing for pre-certification of AV stackscited by 3
  4. 2023Bridging Data-Driven and Knowledge-Driven Approaches for Safety-Critical Scenario Generation in Automated Vehicle Validationcited by 3
  5. 2025When Digital Twins Meet Large Language Models: Realistic, Interactive, and Editable Simulation for Autonomous Drivingcited by 3
  6. 2021A Knowledge-based Approach for the Automatic Construction of Skill Graphs for Online Monitoringcited by 2
  7. 2022Self Supervised Clustering of Traffic Scenes using Graph Representationscited by 2
  8. 2024Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similaritycited by 2
  9. 2024Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzingcited by 2
  10. 2024Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directionscited by 2
  11. 2025LLM-based Realistic Safety-Critical Driving Video Generationcited by 2
  12. 2022Graph Modeling in Computer Assisted Automotive Developmentcited by 1
  13. 2024Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarioscited by 1
  14. 2024Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validationcited by 1
  15. 2025Learning Isometric Embeddings of Road Networks using Multidimensional Scalingcited by 1
  16. 2023Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencingcited by 0
  17. 2023Towards Establishing Systematic Classification Requirements for Automated Drivingcited by 0
  18. 2024Causality-based Transfer of Driving Scenarios to Unseen Intersectionscited by 0
  19. 2024Acceleration method for generating perception failure scenarios based on editing Markov processcited by 0
  20. 2024An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Drivingcited by 0
  21. 2025Context-Awareness and Interpretability of Rare Occurrences for Discovery and Formalization of Critical Failure Modescited by 0
  22. 2026CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularizationcited by 0
  23. 2026What Will Happen Next: Large Models-Driven Deduction for Emergency Instancescited by 0
  24. 2026TrafficAlign: Aligning Large Language Models for Traffic Scenario Generationcited by 0
  25. 2026Scenario Generation for Testing of Autonomous Driving Systems Using Real-World Failure Recordscited by 0
  26. 2026From Operational Design Domain to Action: A Systematic Behavioral Taxonomy for Autonomous Drivingcited by 0
  27. 2026SSP: An Event-Matched Syn2Sim2Phy Cross-Domain Evaluation Framework for Autonomous Driving VLA Modelscited by 0
  28. 2026SAFARI: An Industrial Benchmark for LLM-Assisted Hazard Analysis and Risk Assessmentcited by 0