聚焦端到端的公司，越来越多了......

Core Viewpoint - The article emphasizes the shift in the autonomous driving industry towards end-to-end solutions, with both large and small companies accelerating their transformation to adopt these models [2][4]. Group 1: Data Requirements and Model Development - Companies are exploring the data requirements for developing effective one-stage and two-stage models, with 2 million clips being sufficient for a decent two-stage model, while one-stage models require around 10 million clips [2][4]. - The necessity of simulation data (SD) for end-to-end models and potential pitfalls such as navigation failures are highlighted [4]. Group 2: Community and Knowledge Sharing - The "Autonomous Driving Heart Knowledge Planet" community has been established to provide a comprehensive platform for learning and sharing knowledge in the autonomous driving field, currently hosting nearly 4,500 members with a goal of reaching 10,000 in two years [5][17]. - The community offers a variety of resources including videos, articles, learning paths, and Q&A sessions, aimed at reducing the trial-and-error costs for newcomers [5][9]. Group 3: Technical Routes and Learning Resources - The community has compiled over 40 technical routes covering various aspects of autonomous driving, including VLA benchmarks, multi-modal models, and data annotation practices [7][18]. - Regular discussions with industry experts are held to explore trends, technology directions, and production challenges in autonomous driving [7][9]. Group 4: Job Opportunities and Career Development - The community facilitates job opportunities by connecting members with companies in the autonomous driving sector, providing insights into open positions and career paths [11][22]. - Members can receive guidance on research directions and job applications, enhancing their career prospects in the industry [11][91].