世界模型与自动驾驶小班课正式推出！特斯拉世界模型、视频OCC生成一网打尽~

Core Insights - The article introduces a new course on world models and autonomous driving, emphasizing the importance of understanding various algorithms and their applications in the industry [2][10]. Course Overview - The course is structured into six chapters, covering topics from the introduction of world models to practical applications in autonomous driving [5][10]. - Chapter one discusses the relationship between world models and end-to-end autonomous driving, including historical development and current applications [5]. - Chapter two focuses on foundational knowledge related to world models, including scene representation and key technologies like Transformer and BEV perception [6]. - Chapter three explores general world models, highlighting significant contributions from teams like Li Fei-Fei's Marble and DeepMind's Genie 3 [6][7]. - Chapter four delves into video generation algorithms, showcasing notable works such as Wayve's GAIA-1 & GAIA-2 and recent advancements in the field [7]. - Chapter five examines OCC generation models, discussing their potential for trajectory planning and end-to-end implementation [8]. - Chapter six provides insights into industry applications of world models, addressing common pain points and interview preparation for relevant positions [9]. Learning Outcomes - The course aims to equip participants with the skills to understand and implement world model algorithms, preparing them for roles in the autonomous driving sector [10][13]. - Participants are expected to achieve a level equivalent to one year of experience as a world model algorithm engineer upon completion [13]. Course Schedule - The course is set to begin on January 1, with a duration of approximately two and a half months, featuring offline video lectures and online Q&A sessions [14].