作者 | 李众力 编辑 | 自动驾驶之心 原文链接： https://zhuanlan.zhihu.com/p/1975401888179586737 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 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 系列小结： 前四篇更多在搭"地基"和"管道"。从这一篇开始，我们正式走到中枢神经—— 异常事件如何被自动发现、自动归因、自动长成问题单，并最终汇总成头部问题。 这一切的核心，就是一个三端统一的 Trigger 框架。 一、从"看 log 找 bug"到"数据自己长成问题单" 在很多自动驾驶团队里，问题排查的原始形态大概是这样： 这种方式的问题你自己也体会过： 1. 强依赖少数"老法师" 2. 云 / 车 / 仿真三套逻辑各写一遍 3. 问题聚类和头部问题发现很难做 如果把整个组织类比成一个"强化学习系统"： 01：最重要的第一步——给整个组织选对 Loss Function（MPI / MPS / MPD）。 02：L4 无人车的实时打点与业务心跳。 03：自动驾驶数据闭 ...

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].

WeRide Inc. (NASDAQ:WRD) is one of the best low priced technology stocks to buy according to analysts. On December 7, JPMorgan analyst Alex Yao lowered the firm’s price target on WeRide to $17 from $21, while maintaining an Overweight rating on the shares. Yao expects WeRide’s revenue growth in China to be gradual until local regulations catch up with autonomous driving technology. Consequently, the firm has reduced its near-term estimates for the company despite a confident outlook on its long-term profit ...

The former autonomous driving unit at DJI, the world's largest drone maker, is gearing up to serve the heavy vehicle industry in 2026, in the latest example of Chinese innovation spilling over from Big Tech firms to start-ups. Chinese self-driving tech firm ZYT plans to move into heavy-duty lorries and unmanned logistics vehicles, expanding its footprint from city streets to highways, as the race for commercialisation intensifies in the sector. The Shenzhen-based company, known as Zhuoyu, will introduce ...

延续昨日涨势，百度今日继续走强，盘中一度涨2%至132.3港元，创10月9日以来新高。消息面上，美 国叫车平台Uber和Lyft宣布，已经与百度达成合作协议，计划明年在英国推出无人驾驶的士(Robotaxi)试 点计划。 ...

Group 1 - The core viewpoint of the article highlights the competitive landscape of the autonomous driving industry, emphasizing the focus on technology, cost, and efficiency as key areas of competition this year [1] - The industry has seen a shift with many professionals transitioning to sectors like embodied AI and drones, while autonomous driving remains a mature AI field, making algorithm talents highly sought after [1][2] - Major technological directions in autonomous driving have converged this year, including end-to-end systems, VLA, world models, and reinforcement learning, with many midstream companies tackling challenges like OCC and multi-sensor fusion perception [3] Group 2 - The membership of the paid community focused on autonomous driving has officially surpassed 4,000, indicating a growing interest in the development of technology routes and job information [3] - The company expresses gratitude to its supporters and announces various benefits and discounts for the new year, encouraging continued efforts in the upcoming year [4]

Core Viewpoint - PlusAI, a leader in AI software for autonomous trucks, is moving forward with a business combination with Churchill Capital Corp IX, as indicated by their amended filing with the U.S. Securities and Exchange Commission [1] Group 1: Company Information - PlusAI specializes in AI software specifically designed for autonomous trucks, positioning itself as a key player in the autonomous driving industry [1] - Churchill Capital Corp IX is a publicly traded special purpose acquisition company (SPAC), which is facilitating the business combination with PlusAI [1] Group 2: Regulatory Filings - The companies have submitted an amended registration statement on Form S-4 to the U.S. Securities and Exchange Commission, which includes a preliminary proxy statement/prospectus related to the proposed business combination [1]

Group 1: Domestic Chip Replacement - The rise of domestic AI chip manufacturers is marked by significant stock price increases, with companies like Cambrian Technology surpassing major brands like Kweichow Moutai [1] - The market anticipates more AI chip companies to go public, with notable performances from companies like Moer Thread and Muxi, indicating strong investor interest in domestic chip alternatives [1] - The domestic market share for smart computing chips is projected to grow from approximately 20% in 2024 to about 60% by 2029, reflecting a shift towards local production [2] Group 2: AI Edge Computing - The emergence of AI in hardware is expected to redefine traditional devices, with predictions that mobile phones and apps may become obsolete in favor of AI-driven edge devices [3] - The global edge AI market is forecasted to grow from 321.9 billion yuan to 1.22 trillion yuan between 2025 and 2029, with a compound annual growth rate of 40% [4] - The focus of competition is shifting from hardware specifications to AI experience and ecosystem collaboration, indicating a transformation in the value chain [5] Group 3: Quantum Computing Advances - Quantum technology is recognized as a strategic frontier for technological revolution, with significant breakthroughs expected in the coming years [6] - China's advancements in quantum communication and computing are positioning it alongside global leaders, with the "Zu Chongzhi No. 3" quantum computer expected to maintain a competitive edge [7] - The practical application of quantum computing in fields like finance and protein simulation is anticipated to grow, marking a critical step towards commercialization [6] Group 4: Commercial Space Acceleration - The commercial space sector is entering a new phase of rapid evolution, supported by government policies and increased capital investment [8] - The global commercial space market is projected to grow at a compound annual growth rate of 10.5% over the next five years [8] - The demand for satellite launches is expected to surge, with significant increases in the number of satellites being deployed [9] Group 5: Solid-State Battery Development - Solid-state batteries are gaining attention as a transformative technology for electric vehicles, with major manufacturers announcing plans for testing and production [10] - The timeline for mass production is set for 2027, with initial production expected to be in small batches [11] - The industry faces challenges in cost and manufacturing processes, with a consensus that semi-solid batteries will precede full solid-state solutions [10] Group 6: L3 Autonomous Driving - The introduction of L3 autonomous driving is accelerating due to supportive policies and decreasing costs in the supply chain [12] - The commercial application of L3 technology is expected to expand significantly in 2026, with several manufacturers already in the approval process [13] - The transition from assisted to fully automated driving represents a critical milestone for the industry, with ongoing improvements in technology and data accumulation [13] Group 7: Real Estate Debt Restructuring - Major real estate companies like Country Garden and Sunac have successfully completed debt restructuring, indicating a shift in the industry’s approach to financial challenges [14] - The total scale of debt restructuring in 2025 reached approximately 1.2 trillion yuan, significantly alleviating short-term repayment pressures for affected companies [14] - The focus for 2026 will be on balancing risk management and transformation within the real estate sector, with expectations for continued progress in debt resolution [15] Group 8: "15th Five-Year Plan" Initiatives - The "15th Five-Year Plan" emphasizes high-quality development and technological self-reliance as key objectives for the next five years [16] - The plan outlines initiatives to enhance the modern industrial system and promote strategic emerging industries, including quantum technology and renewable energy [17] - Increasing the resident consumption rate is highlighted as a crucial goal, with measures aimed at boosting consumer spending and improving living standards [18]

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 世界模型的愿景是理解并改变物理世界，核心在于以持续技术突破引领生成式AI自动驾驶范式，重塑自动驾驶底层能力。 2025年6月yann lecun发布V-JEPA 2，2025年8月DeepMind发布Genie 3，2025年11月李飞飞发布Marble。而在自动驾驶领域，关于世界模型的探索也一直没有停止。 最常见的方向是 视频生成 ，也是学术界和工业界探索最多的领域，像wayve的GAIA-1/2/3，上交CVPR'25的工作UniScene等等。其次是 OCC生成 ，比较经典的有 OccWorld、OccLLaMA，还有最近西交的SOTA工作II-World。 不少公司基于这些开源算法搭建自己的云端/车端世界模型，用于长尾数据生成或者闭环仿真/评测。一些公司也在尝试基于世界模型直接赋能车端驾驶能力。 但世界模型的定义仍然很模糊，生成 = 世界模型？ 生成 + 重建 = 世界模型。 对于新入行的同学来说，总是搞不明白。 不少同学跟柱哥吐槽，相当多的时间"浪费"在踩 坑上了。 想要搞懂世界模型，完成数据生成、 ...

Welcome to the Green Stock news brief for Monday, December 29th. Here are today's top headlines. Xping has had its fast drive model accepted to AAI 2026, a top tier AI conference with a 17% acceptance rate, introducing a new visual token pruning framework for end-to-end autonomous driving models.Inspired by human driving behavior, Fast Drive reduces computational load by focusing on essential visual information while filtering out irrelevant data, improving real-time performance. REI Automotive announced a ...