传统规划控制不太好找工作了。。。

Core Viewpoint - The article emphasizes the evolving landscape of autonomous driving, highlighting the shift from traditional planning and control methods to end-to-end approaches, which are increasingly favored in the industry [2][29]. Summary by Sections Course Offerings - The company has designed a specialized course on end-to-end planning and control in autonomous driving, aimed at addressing real-world challenges and enhancing employability [6][12]. - The course will cover essential algorithms and frameworks used in the industry, focusing on practical applications and integration of traditional and modern methods [6][21]. Course Structure - The course consists of six chapters, each focusing on different aspects of planning and control, including foundational algorithms, decision-making frameworks, and handling uncertainty in environments [20][24][29]. - The course will also include interview preparation, resume enhancement, and mock interviews to support participants in securing job offers [31][10]. Target Audience - The course is designed for individuals with a background in vehicle engineering, automation, computer science, and related fields, particularly those seeking to transition into autonomous driving roles [37][39]. - Participants are expected to have a basic understanding of programming and relevant mathematical concepts to fully benefit from the course [43]. Instructor Expertise - The course will be led by an experienced instructor with a strong background in autonomous driving algorithms and practical implementation, ensuring that participants receive high-quality guidance [34][10]. Additional Benefits - Participants will have access to supplementary resources, including code and development environments, to enhance their learning experience [13][15]. - The course aims to provide a comprehensive understanding of the industry, equipping participants with the skills needed to tackle complex problems in autonomous driving [6][13].