Research papers · Posted 2024.10.17 · Publication / acceptance: author-reported

GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation

GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation

Overview

GraphSCENE learns temporal scene-graph relationships among vehicles, agents and infrastructure to generate requested traffic scenarios. Ontology constraints preserve semantic validity, while simulator rendering demonstrates their use as autonomous-vehicle test environments.

Publication and version information

Publication, acceptance or venue information is author-reported on arXiv. The exact source wording is preserved below.

Author-supplied source information

Author-supplied information on arXiv.

Accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

Version: arXiv v3 — manuscript revision

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