A new survey paper explores the application of generative artificial intelligence (GenAI) in the field of autonomous driving, particularly focusing on achieving Level 5 autonomy. The paper details various generative models like VAEs, GANs, Diffusion Models, and LLMs, and their use in generating synthetic data, enabling end-to-end driving strategies, and creating smart transportation networks. It also addresses challenges such as generalization, safety, ethical concerns, and regulatory compliance, proposing future research directions. AI
IMPACT This survey provides a comprehensive overview of GenAI's role in autonomous driving, highlighting potential advancements and challenges for researchers and policymakers.
RANK_REASON The item is a survey paper published on arXiv detailing research frontiers and opportunities in a specific AI application domain. [lever_c_demoted from research: ic=1 ai=1.0]
- arXiv
- autonomous driving
- Diffusion Models
- GANs
- generative artificial intelligence
- Hugging Face
- Large Language Models
- VAEs
- Yuping Wang
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