杨泽同 生成式世界模型概述
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陈立 端到端自动驾驶
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CVPR24 FM4AS | Sherry Yang: Foundation Models as Real-World Simulators
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贾萧松 CARLA中端到端模型的训练与闭环评测
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CVPR24 FM4AS | Rares Ambrus: Visual Foundation Models for Embodied Applications
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上海2024 端到端具身智能体技术研讨会 | 颁奖典礼
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(超爽中英!) 2024公认最全的【吴恩达大模型LLM】系列教程！附代码_LangChain_微调ChatGPT提示词_RAG模型应用_agent_生成式AI
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CVPR24 FM4AS | Alex Kendall: Building Embodied AI to be Safe and Scalable
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ICLR23 SR4AD-02 Scene Understanding beyond the Visible(Hang Qiu)
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CVPR24 FM4AS | Autonomous Grand Challenge Part I
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CVPR24 FM4AS | Andrei Bursuc: Foundation Models in the Automotive Industry
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ICLR23 SR4AD-08 Contributions
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ICLR23 SR4AD-06 Towards Generative Photorealistic Simulation( Yiyi Liao)
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CVPR24 FM4AS | Ted Xiao: What's Missing for Robotics-first Foundation Models?
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ICLR23 SR4AD-09 Optimizing Internal Network Representations(Christos Sakaridis)
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上海2024 端到端具身智能体技术研讨会 | 生成我们的数字未来（虞晶怡）
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CVPR24 FM4AS | Welcome and Opening Remarks
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ICLR23 SR4AD-03 Vision-Centric Autonomous Driving(Hang Zhao)
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ICLR23 SR4AD-04 Contributions
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CVPR24 Tutorial | Deva Ramanan: Learning to Plan in A Reactive World
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CVPR24 FM4AS | Sergey Levine: Robotic Foundation Models
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CVPR24 FM4AS | Panel: Challenges in Building Foundations Models for Embodied AI
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上海端到端具身智能体技术讲习班 | 致辞
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2025版AI大模型全套视频 (LLM+RAG系统+GPT-4o+OpenAI）这绝对是ai大模型教程天花板！
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蔡盼盼 自动驾驶决策规划
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ICLR23 SR4AD-10 Secure and Safe Autonomous Driving (Bo Li)
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ICLR23 SR4AD-05 Robust Visual Perception for All Domains(Dengxin Dai)
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CVPR24 FM4AS | Autonomous Grand Challenge Part II
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北京2023 自动驾驶论坛｜辩论：群“模”乱舞时代下，行业大模型（医疗、驾驶、物流、机器人等）是否要等通用视觉大模型成熟后才能实现？
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ICLR23 SR4AD-01 Introduction and opening remarks(Li Chen)
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陈少宇 端到端建图与规划的研究与落地实践
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CVPR24 Tutorial | Chelsea Finn: Humanoids and Robot Generalists
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上海2024 端到端具身智能体技术研讨会 | 面向自动驾驶仿真的数字孪生世界建模与生成（王申龙）
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CVPR24 Tutorial | Kristen Grauman: Ego(-Exo)4D
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弋力 仿真驱动的开放世界具身感知与交互
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上海2024 端到端具身智能体技术研讨会 | 比赛方案分享Part1
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上海2024 端到端具身智能体技术研讨会 | 开场致辞（乔宇）
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上海人工智能实验室自动驾驶团队原作解读OpenLane：大规模真实场景3D车道线数据集
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AI的后果有多严重多创世，天晓得！晓得收官，大紧依依不舍！
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北京2023 自动驾驶论坛 ｜Keynote 1:2D and 3D Recognition with Transformers
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北京2023 自动驾驶论坛｜Keynote 5: Object-Centric Perception for Autonomous Driving