端到端岗位求职：核心算法&实战讲解（7个project）

Core Insights - The article discusses the evolving recruitment landscape in the autonomous driving industry, highlighting a shift in demand from perception roles to end-to-end, VLA, and world model positions [2] - A new course titled "End-to-End Practical Class for Mass Production" has been designed to address the skills gap in the industry, focusing on practical applications and mass production experiences [2][4] Course Overview - The course aims to cover core algorithms such as one-stage and two-stage end-to-end methods, navigation information applications, reinforcement learning, and trajectory optimization [2] - It is structured into eight chapters, each focusing on different aspects of end-to-end autonomous driving systems, including task overview, algorithm frameworks, navigation applications, and production experiences [5][7][8][9][10][11][12][13][14] Target Audience - The course is designed for advanced learners with a background in autonomous driving perception, reinforcement learning, and programming languages like Python and PyTorch [15][16] - It emphasizes practical skills and aims to prepare participants for real-world applications in the autonomous driving sector [2][15] Course Schedule - The course will commence on November 30, with a duration of approximately three months, featuring offline video lectures and online Q&A sessions [15][17]