正式开课！三个月搞懂自动驾驶世界模型技术栈

Core Insights - The article discusses the vision of world models in understanding and transforming the physical world, emphasizing the role of continuous technological breakthroughs in generative AI for autonomous driving [2] - It highlights the ongoing exploration of world models in the autonomous driving sector, particularly in video generation and OCC generation [2][3] - The article addresses the challenges faced by newcomers in grasping the concept of world models and the complexities involved in data generation and closed-loop simulation [4][5] Summary by Sections Introduction to World Models - The first chapter provides an overview of world models and their connection to end-to-end autonomous driving, detailing the historical development and current applications [12] - It categorizes different types of world models, including purely simulated models and those that integrate planning and sensory input generation [12] Background Knowledge - The second chapter covers foundational knowledge related to world models, including scene representation and technologies like Transformer and BEV perception [13] - This chapter is crucial for understanding the technical vocabulary frequently encountered in job interviews related to world models [13] General World Model Discussion - The third chapter focuses on general world models and recent advancements in autonomous driving, discussing notable models such as Marble, Genie 3, and VLA+ algorithms [14] Video Generation-Based World Models - The fourth chapter delves into video generation algorithms, highlighting significant works like GAIA-1 & GAIA-2 and recent advancements in the field [15] OCC-Based World Models - The fifth chapter centers on OCC generation algorithms, discussing three major papers and a practical project that extends to vehicle trajectory planning [16] World Model Job Topics - The sixth chapter shares practical insights from industry experience, addressing the application of world models in the industry, common pain points, and interview preparation [17] Course Overview - The course aims to provide a comprehensive understanding of end-to-end autonomous driving, with a focus on world models, and is designed for individuals looking to enter the autonomous driving industry [17][20] - It includes detailed discussions on key technologies and methodologies, ensuring participants can apply their knowledge in real-world projects [20] 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 [21][22]