即将开课！面向量产的端到端小班课，上岸高阶算法岗位~

Core Viewpoint - The article emphasizes the importance of end-to-end production in the automotive industry, highlighting the scarcity of qualified talent and the need for comprehensive training programs to address various challenges in this field [1][3]. Group 1: Course Overview - The course is designed to cover essential algorithms related to end-to-end production, including one-stage and two-stage frameworks, reinforcement learning applications, and trajectory optimization [3][9]. - It aims to provide practical experience and insights into production challenges, focusing on real-world applications and expert guidance [3][6]. Group 2: Course Structure - The course consists of eight chapters, each addressing different aspects of end-to-end production, such as task overview, algorithm frameworks, navigation information applications, and trajectory output optimization [9][10][11][12][13][14][15][16]. - The final chapter will share production experiences from various perspectives, including data, models, and strategies for system enhancement [16]. Group 3: Target Audience and Requirements - The course is aimed at advanced learners with a background in autonomous driving, reinforcement learning, and programming, although those with weaker foundations can still participate [17][18]. - Participants are required to have access to a GPU with recommended specifications and familiarity with relevant algorithms and programming languages [18].