从最初的2D方案到当前的VLA大框架，一代又一代的自驾路线是怎么样演变的？

Core Viewpoint - The article emphasizes the importance of creating an engaging learning environment in the field of autonomous driving and AI, aiming to bridge the gap between industry and academia while providing resources for career development and technical knowledge sharing [1][3]. Group 1: Community and Resources - The "Autonomous Driving Heart Knowledge Planet" has evolved through multiple iterations, providing a comprehensive platform for academic and industry exchanges, including job opportunities and technical discussions [1]. - The community has compiled over 40 technical routes and resources, significantly reducing the time needed for information retrieval in the autonomous driving sector [1]. - Members include individuals from renowned universities and leading companies in the autonomous driving field, fostering a rich environment for knowledge sharing [12]. Group 2: Technical Learning and Development - The community offers a structured learning path for newcomers, including foundational knowledge in mathematics, computer vision, and deep learning, as well as practical programming skills [12][20]. - Various learning routes are available, such as end-to-end learning, multi-modal large models, and simulation frameworks, catering to different levels of expertise [12][34]. - The platform provides access to numerous open-source projects and datasets relevant to autonomous driving, enhancing practical learning and application [30][32]. Group 3: Job Opportunities and Networking - The community has established a job referral mechanism with multiple autonomous driving companies, facilitating direct connections between job seekers and employers [6]. - Regular job postings and sharing of internship opportunities are available, helping members stay informed about the latest openings in the industry [11][22]. - Members can engage in discussions about career choices and research directions, receiving guidance from experienced professionals in the field [89]. Group 4: Technical Discussions and Innovations - The community hosts discussions on cutting-edge topics such as VLA (Vision Language Architecture), world models, and diffusion models, keeping members updated on the latest advancements [44][48]. - Regular live sessions with industry experts are conducted, allowing members to learn about new technologies and methodologies in autonomous driving [85]. - The platform encourages collaboration and knowledge exchange, aiming to cultivate future leaders in the autonomous driving industry [3].