Core Insights - The article discusses the advancements and applications of world models in autonomous driving, particularly focusing on the reconstruction and generation techniques utilized by companies like Li Auto [2][3] - It highlights the importance of understanding world models for newcomers in the field, emphasizing the challenges faced in grasping the concepts and practical applications [4][5] Summary by Sections Section 1: 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 [7] - It categorizes different types of world models, including purely simulated models, simulation combined with planning, and those generating sensor inputs and perception results [7] Section 2: Background Knowledge of World Models - The second chapter covers foundational knowledge related to world models, including scene representation, Transformer technology, and BEV perception [8][13] - It emphasizes the significance of these concepts in preparing for advanced discussions on world models [8] Section 3: General World Model Exploration - The third chapter focuses on general world models and recent popular works in autonomous driving, discussing models like Marble, Genie 3, and DriveVLA-W0 [9] Section 4: Video Generation-Based World Models - The fourth chapter delves into video generation algorithms, which are currently the most researched area in both academia and industry, starting with notable works like GAIA-1 & GAIA-2 [10] Section 5: OCC-Based World Models - The fifth chapter centers on OCC generation methods, explaining their potential for extending to vehicle trajectory planning and achieving end-to-end solutions [10] Section 6: World Model Job Topics - The sixth chapter shares practical insights from industry experience, addressing the application of world models, industry pain points, and interview preparation for related positions [11] Course Overview - The course aims to provide a comprehensive understanding of world models, targeting individuals interested in advancing their knowledge and skills in autonomous driving technology [12][15] - It includes a structured schedule with specific topics covered in each chapter, starting from foundational concepts to advanced applications [16][17]