一场关于自动驾驶VLA和世界模型的深度讨论！下周一不见不散~

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 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 Focus - 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, 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].