点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 最近一个月，星球内又更新了很多最新的技术&行业动态： 同时，还有很多的答疑解惑： 下周四柱哥也会邀请嘉宾在星球内部和大家聊一聊最近的一些技术进展，欢迎大家加入自动驾驶之心知识星 球。我们准备了大额新人优惠...... 扛内卷，一个足够有料的社区 对于很多想入门的同学来说，试错成本有点高。没时间和缺乏完整的体系是最大问题，这也容易导致行业壁 垒越来越高，如果想要卷赢那就更加困难了。 Waymo最新的基座模型分享，快慢双系统+数据飞轮； WorldSplat二十问，前馈GS趋势已成； 自动驾驶L4圆桌访谈，港大团队讲解特斯拉端到端三大挑战； 2025地平线技术生态大会上，苏箐关于自驾的一些insights； 自动驾驶世界模型论文与代码汇总； 英伟达2025年技术图鉴，自驾、具身、大模型全面开花； 传统规控实现给端到端大模型兜底的思路； 40个问题深度解析自动驾驶领域vla+wm的重磅工作：DriveVLA-W0； BEV融合如何能够提升盲区（很近范围）内3D Box的边界准确程度； 小鹏第二代VLA的延展讨论； ...

Core Viewpoint - The article emphasizes the establishment of a comprehensive community for autonomous driving, aiming to provide a platform for knowledge sharing, technical discussions, and career opportunities in the field [4][17]. Group 1: Community Development - The "Autonomous Driving Heart Knowledge Planet" has been created to address the high trial-and-error costs for newcomers in the autonomous driving industry, offering a structured learning environment [4][5]. - The community has grown to over 4,000 members and aims to expand to nearly 10,000 within two years, focusing on both academic and industrial needs [5][18]. - Various activities such as face-to-face meetings, expert interviews, and industry research will continue to be organized to meet the diverse needs of members [4][5][18]. Group 2: Learning Resources - The community has compiled over 40 technical learning paths, covering topics from entry-level to advanced autonomous driving technologies [7][18]. - Members have access to exclusive video tutorials and documents that facilitate learning in areas such as perception fusion, SLAM, and decision-making [11][18]. - A comprehensive list of open-source projects and datasets related to autonomous driving has been made available to assist members in their research and projects [35][37]. Group 3: Industry Insights - The community plans to conduct industry research focusing on the scaling of autonomous driving technologies, particularly in the L4 domain, which is expected to regain attention in the coming year [4][18]. - Regular discussions with industry experts will provide insights into the latest trends, challenges, and opportunities in the autonomous driving sector [7][18]. - The community aims to connect members with job opportunities in leading companies within the autonomous driving industry, facilitating career advancement [11][20].

点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 这一个月，自动驾驶之心星球又更新了很多技术内容，汇报给大家： 自动驾驶之心知识星球是我们一直在维护更新的星球！ 如果您也想和自动驾驶学术界或工业界的大佬交流，欢迎加入自动驾驶之心知识星球。我们聊技术、聊趋 势、聊变化。未来柱哥还会持续邀请学术界和工业界的同行和大家交流。 欢迎加入自动驾驶之心知识星球，我们准备的大额的新人优惠...... 扛内卷，一个足够有料的社区 对于很多想入门的同学来说，试错成本有点高。没时间和缺乏完整的体系是最大问题，这也容易导致行业壁垒越来越高，如果想要卷赢那就更加困难了。 所以我们联合了诸多学术界和工业界的大佬，共同打造了我们维护三年之久的『自动驾驶之心知识星球』！ 星球目前集视频 + 图文 + 学习路线 + 问答 + 求职交流 为一体，是一个综合类的自驾社区，已经超过4000人了。我们期望未来2年内做到近万人的规模。给大家打造一个交流+技术分享的聚集地，是许多初学者和进阶的 同学经常逛的地方。 如果你也想和我们一起推动自驾领域的进步，欢迎加入我们的社区团队，和我们一起推动！ 我们准 ...

Core Viewpoint - The article emphasizes the importance of building a comprehensive community for autonomous driving, providing resources, networking opportunities, and guidance for both newcomers and experienced professionals in the field [6][16][19]. Group 1: Community and Networking - The "Autonomous Driving Heart Knowledge Planet" community aims to create a platform for technical exchange and collaboration among members from renowned universities and leading companies in the autonomous driving sector [16][19]. - The community has grown to over 4,000 members and aims to reach nearly 10,000 within two years, facilitating discussions on technology trends and industry developments [6][7]. - Members can freely ask questions regarding career choices and research directions, receiving insights from industry experts [89][92]. Group 2: Learning Resources - The community offers a variety of learning materials, including video tutorials, technical routes, and Q&A sessions, covering over 40 technical directions in autonomous driving [9][11][16]. - Specific learning paths are provided for newcomers, including foundational courses and advanced topics in areas such as end-to-end driving, multi-sensor fusion, and 3D target detection [11][17][36]. - The community has compiled a comprehensive list of open-source projects and datasets relevant to autonomous driving, aiding members in their research and development efforts [32][34][36]. Group 3: Career Development - The community facilitates job referrals and connections with various autonomous driving companies, enhancing members' employment opportunities [11][19]. - Regular discussions with industry leaders are organized to explore career paths, job openings, and the latest trends in the autonomous driving field [8][19][92]. - Members are encouraged to engage in research collaborations and internships, particularly for those pursuing advanced degrees in related fields [3][6][16].

Core Insights - The article emphasizes the establishment of a comprehensive community called "Autonomous Driving Heart Knowledge Planet," aimed at bridging the gap between academia and industry in the field of autonomous driving [1][3][14]. Group 1: Community Development - The community has grown to over 4,000 members and aims to reach nearly 10,000 within two years, providing a platform for technical sharing and communication among beginners and advanced learners [3][14]. - The community offers various resources, including videos, articles, learning paths, Q&A sessions, and job exchange opportunities, making it a holistic hub for autonomous driving enthusiasts [1][3][5]. Group 2: Learning Resources - The community has compiled over 40 technical learning paths, covering topics such as end-to-end learning, multi-modal large models, and data annotation practices, significantly reducing the time needed for research [5][14]. - Members can access a variety of video tutorials and courses tailored for beginners, covering essential topics in autonomous driving technology [9][15]. Group 3: Industry Engagement - The community collaborates with numerous industry leaders and academic experts to discuss trends, technological advancements, and production challenges in autonomous driving [6][10][14]. - There is a mechanism for job referrals within the community, facilitating connections between members and leading companies in the autonomous driving sector [10][12]. Group 4: Technical Focus Areas - The community has organized resources on various technical areas, including 3D object detection, multi-sensor fusion, and high-precision mapping, which are crucial for the development of autonomous driving technologies [27][29][31]. - Specific focus is given to emerging technologies such as visual language models (VLM) and world models, with detailed summaries and resources available for members [37][39][45].

Core Viewpoint - The article emphasizes the establishment of a comprehensive community called "Autonomous Driving Heart Knowledge Planet," aimed at providing a platform for knowledge sharing and networking in the autonomous driving industry, addressing the challenges faced by newcomers in the field [1][3][14]. Group 1: Community Development - The community has grown to over 4,000 members and aims to reach nearly 10,000 within two years, providing a space for technical sharing and communication among beginners and advanced learners [3][14]. - The community integrates various resources including videos, articles, learning paths, Q&A, and job exchange, making it a comprehensive hub for autonomous driving enthusiasts [3][5]. Group 2: Learning Resources - The community has organized over 40 technical learning paths, covering topics such as end-to-end autonomous driving, multi-modal large models, and data annotation practices, significantly reducing the time needed for research [5][14]. - Members can access a variety of video tutorials and courses tailored for beginners, covering essential topics in autonomous driving technology [9][15]. Group 3: Industry Insights - The community regularly invites industry experts to discuss trends, technological advancements, and production challenges in autonomous driving, fostering a serious content-driven environment [6][14]. - Members are encouraged to engage with industry leaders for insights on job opportunities and career development within the autonomous driving sector [10][18]. Group 4: Networking Opportunities - The community facilitates connections between members and various autonomous driving companies, offering resume forwarding services to help members secure job placements [10][12]. - Members can freely ask questions regarding career choices and research directions, receiving guidance from experienced professionals in the field [87][89].

Core Insights - The article emphasizes the importance of seizing opportunities and continuous learning in the rapidly evolving field of autonomous driving, as illustrated by the experiences of a professional who transitioned from banking to the autonomous driving industry [1][2]. Group 1: Career Development in Autonomous Driving - The transition from a traditional banking career to the autonomous driving sector was facilitated by the growing demand for talent in the industry, particularly in 2020 [1]. - The individual initially started in algorithm evaluation, gradually moving to more advanced roles in perception and safety algorithms, highlighting the significance of building foundational skills and adapting to industry trends [1]. Group 2: Community and Learning Resources - The "Autonomous Driving Heart Knowledge Planet" community has over 4,000 members and aims to grow to nearly 10,000 in the next two years, providing a platform for knowledge sharing and technical discussions [4][5]. - The community offers a comprehensive learning environment, including video content, written materials, learning pathways, and job exchange opportunities, catering to both beginners and advanced learners [7][11]. Group 3: Technical Learning and Support - The community has organized resources covering over 40 technical pathways in autonomous driving, addressing various topics such as end-to-end learning, multi-modal models, and data annotation practices [19][21]. - Members can access practical guidance on entering the field, including specific learning routes for different aspects of autonomous driving technology [8][13]. Group 4: Industry Engagement and Networking - The community collaborates with industry leaders and academic experts to provide insights into the latest trends and challenges in autonomous driving, fostering a network for professional growth [9][18]. - Members are encouraged to engage with industry professionals for job referrals and to stay updated on academic advancements and industrial applications [21][23].

Core Insights - The article emphasizes the importance of making learning engaging and serving as a bridge between industries and educational institutions, particularly in the fields of AI and autonomous driving [1] Group 1: Community and Resources - The community has created a comprehensive platform for academic and industrial exchanges, providing access to cutting-edge content, industry insights, and job opportunities [2][12] - The platform has compiled over 40 technical routes and invited numerous industry experts to answer questions and provide guidance [2][15] - Members can access a variety of resources, including open-source projects, datasets, and learning paths tailored for different levels of expertise [15][30][32] Group 2: Learning Pathways - The community offers structured learning pathways for beginners, intermediate, and advanced learners in autonomous driving technologies [8][10][16] - Specific learning routes include areas such as perception, simulation, and planning control, catering to both academic and practical applications [15][34] - The platform also provides a detailed overview of the latest trends and technologies in autonomous driving, including VLA (Vehicle Language Architecture) and world models [42][38] Group 3: Networking and Collaboration - The community facilitates networking among members from prestigious universities and leading companies in the autonomous driving sector [15][26] - Regular live sessions and discussions with industry leaders are organized to enhance knowledge sharing and collaboration [79][80] - Members are encouraged to engage in discussions about career choices and research directions, fostering a supportive environment for professional growth [80][82]

Core Viewpoint - The article discusses the evolving landscape of the autonomous driving industry in China, highlighting the shift in competitive dynamics and the increasing investment in autonomous driving technologies as a core focus of AI development [1][2]. Industry Trends - The autonomous driving sector has undergone significant changes over the past two years, with new players entering the market and existing companies focusing on improving execution capabilities [1]. - The industry experienced a flourishing period before 2022, where companies with standout technologies could thrive, but has since transitioned into a more competitive environment that emphasizes addressing weaknesses [1]. - Companies that remain active in the market are progressively enhancing their hardware, software, AI capabilities, and engineering implementation to survive and excel [1]. Future Outlook - By 2025, the industry is expected to enter a "calm period," where unresolved technical challenges in areas like L3, L4, and Robotaxi will continue to present opportunities for professionals in the field [2]. - The article emphasizes the importance of comprehensive skill sets for individuals in the autonomous driving sector, suggesting that those with a short-term profit mindset may not endure in the long run [2]. Community and Learning Resources - 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, featuring over 4,000 members and aiming for a growth to nearly 10,000 in the next two years [4][17]. - The community offers a variety of resources, including video content, learning pathways, Q&A sessions, and job exchange opportunities, catering to both beginners and advanced learners [4][6][18]. - Members can access detailed technical routes and practical solutions for various autonomous driving challenges, significantly reducing the time needed for research and learning [6][18]. Technical Focus Areas - The community has compiled over 40 technical routes related to autonomous driving, covering areas such as end-to-end learning, multi-modal models, and various simulation platforms [18][39]. - There is a strong emphasis on practical applications, with resources available for data processing, 4D labeling, and engineering practices in autonomous driving [12][18]. Job Opportunities - The community facilitates job opportunities by connecting members with openings in leading autonomous driving companies, providing a platform for resume submissions and internal referrals [13][22].

Core Viewpoint - The autonomous driving industry is maturing in terms of infrastructure and investment, making it a suitable field for students and professionals to explore and develop their skills [1][16]. Group 1: Industry Insights - The technology landscape in autonomous driving is consolidating, but there are still many product forms to refine, indicating ongoing opportunities for innovation [1]. - The industry is currently debating the technical routes of world models and VLA, suggesting that while theoretical aspects may be solidifying, practical implementation remains a challenge [1]. - The focus on L2 functionality and the regulatory progress for L3 indicates a gradual evolution towards more advanced levels of automation, with L4 still facing unresolved issues [1]. Group 2: Community and Learning Resources - A community called "Autonomous Driving Heart Knowledge Sphere" has been established, which integrates various resources such as videos, articles, learning paths, and job exchange, aimed at fostering collaboration and knowledge sharing [4][5]. - The community has grown to over 4,000 members, with a goal to reach nearly 10,000 in the next two years, providing a platform for both beginners and advanced learners [5]. - The community offers practical guidance on various topics, including entry points for end-to-end learning, multi-modal large models, and data annotation practices [7][8]. Group 3: Career Opportunities - The community actively shares job openings and facilitates connections between members and companies in the autonomous driving sector, enhancing employment opportunities [12][21]. - There is a focus on developing comprehensive learning paths for newcomers, ensuring they have access to a well-rounded education in autonomous driving technologies [17][38]. Group 4: Technical Development - The community has compiled over 40 technical routes and resources related to autonomous driving, covering areas such as perception, simulation, planning, and control [17][34]. - Regular discussions and live sessions with industry experts are held to explore trends, technical directions, and production challenges in autonomous driving [8][90].