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26 pages
自动驾驶
RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework
MOSAIC: 基于规模感知的自动驾驶数据挑选魔法阵
DriveVA - 视频动作模型即零样本驾驶员
SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving
FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model
DiffusionDriveV2: Truncated Diffusion Model for End-to-End Autonomous Driving
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
World4Drive - 无需感知标注的端到端自动驾驶世界模型
Epona: Autoregressive Diffusion World Model for End-to-End Autonomous Driving
Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling
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