PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving
Paper • 2609.08965 • Published • 8
Paper
Note EMNLP 2026 Main
EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
Paper • 2604.22851 • Published • 2Note ECCV 2026
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
Paper • 2511.17792 • Published • 6Note ECCV 2026
Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
Paper • 2607.14387 • Published • 4Note IROS 2026
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Paper • 2506.11526 • Published • 2Note OT-ITS Journal 2026
SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection
Paper • 2510.18034 • Published • 4Note ITSC 2026
NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving
Paper • 2509.25944 • Published • 1Note ICRA 2026
Imagined Rollouts are Kinematic, Not Dynamic: A Diagnosis of Long-Horizon World-Model Failure
Paper • 2607.05966 • Published • 3Note RSS 2026 - Robot World Model Workshop
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StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
Paper • 2603.09482 • Published • 1
From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios
Paper • 2502.02145 • Published • 1Note ITSC 2025
Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators
Paper • 2607.07196 • Published • 1Note RSS 2026 - Robot World Model Workshop