Generative AI for Autonomous Driving: A Review

arXiv:2505.15863 · cs.CV, cs.AI, cs.RO · Submitted 2025-05-21 · Read on arXiv

cs.CV, cs.AI, cs.RO

Submitted: 2025-05-21

Updated: 2026-10-13

Terminology

• Autonomous Driving — 2× in this paper
• Generative AI — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 9 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
• GAIA-1: A Generative World Model for Autonomous Driving
• A Survey for Foundation Models in Autonomous Driving
• Prospective Role of Foundation Models in Advancing Autonomous Vehicles
• LLM4Drive: A Survey of Large Language Models for Autonomous Driving
• Large Language Models for Human-like Autonomous Driving: A Survey
• A Survey of Generative AI for Intelligent Transportation Systems: Road Transportation Perspective
• Flow Matching for Generative Modeling
• Auto-Encoding Variational Bayes
• Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review
• A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
• A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
• Image Inpainting via Conditional Texture and Structure Dual Generation
• Versatile Behavior Diffusion for Generalized Traffic Agent Simulation
• DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
• GANs Conditioning Methods: A Survey
• Learning Likelihoods with Conditional Normalizing Flows
• Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control
• A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
• Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

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