Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Paper • 2506.11526 • Published • 2
Mattia Piccinini
mattiapiccinini
·
AI & ML interests
AI-based Robotics
Recent Activity
authored a paper 9 days ago
Foundation Models in Autonomous Driving: A Survey on Scenario Generation
and Scenario Analysis authored a paper 9 days ago
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets? authored a paper 9 days ago
Enhancing Physical Consistency in Lightweight World ModelsOrganizations
authored 15
papers 9 days ago
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
Paper • 2511.17792 • Published • 6
Enhancing Physical Consistency in Lightweight World Models
Paper • 2509.12437 • Published
NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving
Paper • 2509.25944 • Published • 1
StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
Paper • 2603.09482 • Published • 1
Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing
Paper • 2605.21111 • Published
SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection
Paper • 2510.18034 • Published • 4
Unified Video-Action Joint Denoising for Dexterous Action and Data Generation
Paper • 2606.03868 • Published
EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
Paper • 2604.22851 • Published • 2
Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators
Paper • 2607.07196 • Published • 1
Chat2Scenic: An Iterative RAG-Based Framework for Scenario Generation in Autonomous Driving
Paper • 2607.14387 • Published • 5
SGTP: Sampling-based Game-Theoretic Planning for Real-Time Multi-Vehicle Autonomous Racing
Paper • 2607.25388 • Published • 4
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
Paper • 2502.02145 • Published • 1
Embedding Physics Priors in Robot Learning: A Survey
Paper • 2609.22319 • Published • 19