那些号称端到端包治百病的人，压根从来没做过PnC......

Core Viewpoint - The article discusses the current state and future potential of end-to-end (E2E) autonomous driving systems, emphasizing the need for a shift from modular to E2E approaches in the industry, while acknowledging the challenges and limitations that still exist in achieving maturity in this technology [3][5]. Group 1: End-to-End Autonomous Driving - The concept of end-to-end systems involves directly processing raw sensor data to output control signals for vehicles, representing a significant shift from traditional modular approaches [3][4]. - E2E systems are seen as a way to provide a comprehensive representation of the information affecting vehicle behavior, which is crucial for handling the open-set scenarios of autonomous driving [4]. - The industry is currently divided, with some companies focusing on Vehicle Language Architecture (VLA) and others on traditional methods, but there is a consensus that E2E systems are the future [2][5]. Group 2: Industry Trends and Challenges - There is a growing recognition that autonomous driving is transitioning from rule-based to knowledge-driven systems, which necessitates a deeper understanding of E2E methodologies [5]. - Despite the high potential of E2E systems, there are still significant challenges to overcome before they can fully replace traditional planning and control methods [5]. - The article suggests that companies should allow more time for E2E systems to mature rather than rushing to implement them without adequate understanding [5]. Group 3: Community and Learning Resources - The "Autonomous Driving Heart Knowledge Planet" community aims to provide a platform for sharing knowledge and resources related to autonomous driving, including technical routes and job opportunities [8][18]. - The community has gathered over 4,000 members and aims to expand to nearly 10,000 within two years, offering a space for both beginners and advanced learners to engage with industry experts [8][18]. - Various learning resources, including video tutorials and technical discussions, are available to help members navigate the complexities of autonomous driving technologies [12][18].