答应大家的《自动驾驶世界模型》课程终于开课了！

Core Viewpoint - The article announces the launch of a new course titled "World Models and Autonomous Driving Small Class," focusing on general world models, video generation, and OCC generation algorithms in the context of autonomous driving [1][3]. Course Overview - The course is developed in collaboration with industry leaders and follows the success of a previous course on end-to-end and VLA autonomous driving [1]. - The course aims to enhance understanding of world models and their applications in autonomous driving, targeting individuals interested in entering the industry [11]. Course Structure Chapter 1: Introduction to World Models - This chapter provides an overview of world models and their connection to end-to-end autonomous driving, including historical development and current applications [6]. - It discusses various types of world models, such as pure simulation, simulation + planning, and generating sensor inputs and perception results, along with their industry applications [6]. Chapter 2: Background Knowledge of World Models - The second chapter covers foundational knowledge related to world models, including scene representation, Transformer technology, and BEV perception [6][12]. - It highlights key technical terms frequently encountered in job interviews related to world models [7]. Chapter 3: Discussion on General World Models - This chapter focuses on popular general world models, including Marble from Li Fei-Fei's team, DeepMind's Genie 3, and Meta's JEPA, as well as the VLA+ world model algorithms [7]. - It aims to explain the core technologies and design philosophies behind these models [7]. Chapter 4: Video Generation-Based World Models - The fourth chapter delves into video generation algorithms, starting with Wayve's GAIA-1 & GAIA-2 and extending to recent works like UniScene and OpenDWM [8]. - It balances classic works with the latest advancements in the field [8]. Chapter 5: OCC-Based World Models - This chapter focuses on OCC generation algorithms, discussing three major papers and a practical project that extends OCC methods to vehicle trajectory planning [9]. Chapter 6: World Model Job Topics - The final chapter shares practical insights from the instructor's years of experience, addressing industry applications, pain points, and interview preparation for related positions [10]. Learning Outcomes - The course is designed to be the first advanced practical tutorial for end-to-end autonomous driving, aiming to facilitate the implementation of these technologies in the industry [11]. - Participants are expected to achieve a level equivalent to one year of experience as a world model autonomous driving algorithm engineer upon completion [14].