江岸青 ：早稻田大学博士，博世中央研究院高级算法科学家，vla/闭环算法 研究team leader 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 >>直播和内容获取转到 → 自动驾驶之心知识星球 超五百人预约！赶紧加入 这一个月，大家对智能驾驶的讨论前所未有的高涨。 而这些讨论的背后都有着一个主题： 自动驾驶的下一代方案应该是什么？ 今天自动驾驶之心将为大家带来一场重量级的智驾圆桌，汇聚学术界和工业界的多元观点。这一场圆桌将围绕VLA、世界模型展开极其深入 而全面的讨论，包括世界模型和VLA的各种形态，在产业界落地的进展和结合二者的可能性。会谈及近期特斯拉，理想在ICCV发表的技术报 告，DriveVLA-W0和世界模型的技术讨论等等。敬请期待这场深度与前瞻性兼具的思想盛宴。 主讲嘉宾 许凌云 ：中国科学院博士，卡内基梅隆机器人研究所博士后。共发表12篇机器人领域顶级期刊或会议文章，获取过DARPA SUBT无人车挑战 赛2019年世界冠军。研究成果主要集中在目标检测、跟踪，从2019年到2024年专注于智能驾驶算法的开发，主导过多个行车和泊车量产项目 ...

Core Insights - The article discusses advancements in autonomous driving technology, particularly focusing on the development of the Visual-Language-Action (VLA) framework and world models, highlighting the contributions of various experts in the field [1][2][3][4][5]. Group 1: Key Contributors - Jian Kun, a senior director at Li Auto, has built the autonomous driving technology stack from scratch since joining in 2021, achieving milestones such as Highway NoA in 2022 and City NoA in 2023 [1]. - Xu Lingyun, a PhD from the Chinese Academy of Sciences, leads the parking team at Changan Automobile, focusing on autonomous driving perception and end-to-end system research [2]. - Jiang Anqing, a senior algorithm scientist at Bosch, leads research on VLA and closed-loop algorithms [3]. Group 2: Technological Developments - The discussion includes the potential integration of world models and VLA, questioning whether a unified approach is feasible [8]. - The high demand for data and computing power is making it increasingly difficult for academia to participate in intelligent driving advancements, raising questions about future opportunities in the academic sector [8]. Group 3: Event Highlights - A live discussion on the future of autonomous driving technologies, including insights on Tesla's FSD v14 and its implications for domestic technology [4][5]. - The event featured a deep dive into the reliability of VLM in autonomous driving, with expert opinions on data closed-loop engineering [12].