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Generative AI survey details frontiers and opportunities in autonomous driving

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]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Generative AI survey details frontiers and opportunities in autonomous driving

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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]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Fangzhou Lin, Peizh… ·

    Generative AI for Autonomous Driving: Frontiers and Opportunities

    arXiv:2505.08854v2 Announce Type: replace Abstract: Generative Artificial Intelligence (GenAI) constitutes a transformative technological wave that reconfigures industries through its unparalleled capabilities for content creation, reasoning, planning, and multimodal understandin…