CVPR最佳论文颁给自动驾驶大模型！LLM能突破行业技术“天花板”吗？

2024年开始，将是高阶自动驾驶关键节点。大模型、端到端、OCC这些技术正逐步走向量产。

今天就为大家盘点200+篇自动驾驶论文与代码，来自ICCV、NeurIPS等顶会，涉及大模型自动驾驶、端到端、BEV感知、检测、OCC等10余个研究方向。

本论文合集涵盖的研究方向全面，内容充实。能帮助大家一览自动驾驶发展路线与前沿趋势。扫码下载全部论文PDF与代码。

1.BEV-CLIP Multi-Modal BEV Retrieval Methodology for Complex Scene in Autonomous Driving

2.Driving with LLMs Fusing Object-Level Vector Modality for Explainable Autonomous Driving

3.3D Dense Captioning Beyond Nouns A Middleware for Autonomous Driving

4.Language-Guided Traffic Simulation via Scene-Level Diffusion

......

1.End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic

2.Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey

3.End-to-end Autonomous Driving: Challenges and Frontiers

4.Detrive:Imitation Learning with Transformer Detection for End-to-End Autonomous Driving

......

1.BEVDepth Acquisition of Reliable Depth for Multi-view 3D Object Detection

2.BEVDistill Cross-Modal BEV Distillation for Multi-View 3D Object Detection

3.BEVerse Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

4.BEVSimDet Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection

篇幅有限，更多自动驾驶10+研究方向200+论文代码资料合集，扫码即可免费下载！

扫码预约干货直播，免费领200+论文代码合集