Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Paper • 2506.11526 • Published • 2
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Embedding Physics Priors in Robot Learning: A Survey
PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving
mattiapiccinini
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papers 8 days ago
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
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Enhancing Physical Consistency in Lightweight World Models
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NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving
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StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
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Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing
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SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection
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Unified Video-Action Joint Denoising for Dexterous Action and Data Generation
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EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
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Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators
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Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
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SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing
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PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving
Paper • 2609.08965 • Published • 9
From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios
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Embedding Physics Priors in Robot Learning: A Survey
Paper • 2609.22319 • Published • 19
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