Author

Liu Ren

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Review Open access Aug 2026

Generative AI for Autonomous Driving: Frontiers and Opportunities

This survey delivers a comprehensive and critical synthesis of the emerging role of GenAI across the autonomous driving stack, delving into the frontier applications of GenAI in image, LiDAR, trajectory, occupancy, and video generation, as well as LLM-guided reasoning and decision-making.

Yuping Wang, Shuo Xing, Cui Can et al. · ACM Computing Surveys · 57 citations · ⚡2

Preprint Aug 2026

Scaling Curriculum Learning For Autonomous Driving

CL4AD is presented, the first integration of curriculum learning into batched autonomous driving simulators by framing scenario selection as an unsupervised environment design problem, and utility functions that shape curricula based on success rates and the realism of the agent's behavior are introduced, in addition to existing regret-estimation functions.

Cevahir Koprulu, D. Paz, Feng Tao et al. · 0 citations