Papers
10 papers total
| Title | Actions |
|---|---|
| GenAD: 用生成式端到端模型实现自动驾驶 GenAD: Generalized Predictive Model for Autonomous Driving | |
| LiDAR4D: 基于4D高斯的动态驾驶场景LiDAR重建 LiDAR4D: Dynamic Driving Scene Reconstruction with 4D Gaussian Splatting | |
| DriveVLM: 视觉语言模型驱动的自动驾驶 DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models | |
| OccNet: 以3D占用栅格表示驾驶场景 Scene as Occupancy | |
| VAD: 向量化场景表示的端到端自动驾驶 VAD: Vectorized Scene Representation for Efficient Autonomous Driving | |
| GAIA-1: 自动驾驶生成式世界模型 GAIA-1: A Generative World Model for Autonomous Driving | |
| RT-2: 视觉-语言-动作模型在机器人控制中的迁移 RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control | |
| UniAD: 面向规划的统一自动驾驶框架 Planning-oriented Autonomous Driving | |
| MapTR: 在线高精地图的结构化建模 MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction | |
| BEVFormer: 基于时空Transformer的多相机BEV感知 BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers |