FSD v14里面藏了VLA吗？谁在定义自动驾驶下一代方案：VLA vs WA的一场深入探讨......

Core Insights - The article discusses the rising discussions around the next-generation solutions for autonomous driving, focusing on the concepts of VLA (Vision-Language Alignment) and world models [2][3]. Group 1: Event Overview - A significant roundtable discussion is planned, bringing together diverse perspectives from academia and industry to explore VLA and world models in depth [3]. - The event will cover various forms of world models and VLA, advancements in industry applications, and the potential integration of both concepts [3]. Group 2: Key Speakers - Xu Lingyun, a PhD from the Chinese Academy of Sciences and a postdoctoral researcher at Carnegie Mellon University, will share insights on intelligent driving algorithms and has led multiple production projects [4]. - Jiang Anqing, a PhD from Waseda University and a senior algorithm scientist at Bosch, will discuss VLA and closed-loop algorithms [5]. - Zhang Zhipeng, founder of AutoLab at Shanghai Jiao Tong University, will contribute as an assistant professor and PhD advisor [5]. Group 3: Discussion Topics - The event will feature discussions on the essence of world models by NIO's Ren Shaoqing, Tesla's latest advancements in FSD (Full Self-Driving) at ICCV, and the training closed-loop of world models by Li Auto [6]. - Highlights will include the impressive real-world performance of Horizon Robotics' HSD and NVIDIA's latest VLA work [6]. Group 4: Future Directions - The article raises questions about whether the future of autonomous driving will move towards a unified integration of world models and VLA [11]. - It also addresses the increasing demand for data and computing power, which poses challenges for academic participation in autonomous driving research [11].