世界模型与自动驾驶：最新算法&实战项目（特斯拉、视频、OCC等）

Core Viewpoint - The article introduces a new course focused on world models in autonomous driving, highlighting its relevance and the collaboration with industry experts to provide comprehensive training in this emerging field [2][4]. Course Overview - The course will cover various aspects of world models, including their historical development, current applications, and different methodologies such as pure simulation, simulation plus planning, and generative sensor input [7]. - It aims to equip participants with the necessary skills and knowledge to understand and implement world models in autonomous driving [12]. Course Structure - Chapter 1: Introduction to World Models This chapter will provide an overview of world models and their connection to end-to-end autonomous driving, discussing various streams and their applications in the industry [7]. - Chapter 2: Background Knowledge of World Models This chapter will delve into foundational knowledge, including scene representation, Transformer technology, and BEV perception, which are crucial for understanding world models [8]. - Chapter 3: Discussion on General World Models Focused on popular models like Marble and Genie 3, this chapter will explore their core technologies and design philosophies [9]. - Chapter 4: Video Generation-Based World Models This chapter will cover video generation algorithms, highlighting significant works and recent advancements in the field [10]. - Chapter 5: OCC-Based World Models This chapter will focus on OCC generation methods, discussing their applications in trajectory planning and end-to-end systems [11]. - Chapter 6: World Model Job Topics This chapter will provide insights into industry applications, challenges, and interview preparation for roles related to world models [11]. Target Audience and Learning Outcomes - The course is designed for individuals aiming to advance their knowledge in end-to-end autonomous driving and world models, with expectations to reach a level equivalent to one year of experience in the field [15]. - Participants will gain a deep understanding of key technologies such as video generation, OCC generation, BEV perception, and more, enabling them to apply these concepts in real-world projects [15].