Core Insights - The launch of Tesla's driverless taxi service in Austin marks a significant shift towards mainstream adoption of autonomous vehicles, with positive consumer feedback highlighting comfort and safety [1][2][5] - Tesla plans to gradually scale its robotaxi fleet, aiming for 50 vehicles in operation by Q4 2025 and over 1,000 by the end of 2026, with potential expansion into California [3][5] - Analysts predict that the success of Tesla's autonomous vehicles could pressure other automakers to accelerate their own autonomous technology timelines [5] Company Analysis - **Tesla**: The company is positioned as a leader in the driverless transport sector, with autonomous vehicles accounting for approximately 59% of its price target, equating to an implied value of $800 billion [8] - **Alphabet (Waymo)**: Waymo is ahead in robotaxi testing, operating in four U.S. cities and planning to expand to 17 more, with expectations to capture 10% of the autonomous vehicle market by the end of the decade [10] - **Nvidia**: The chipmaker is expected to benefit from the growth of autonomous vehicles, as its chips are integral to most autonomous driving systems [11] Competitive Landscape - **Uber**: While Uber's stock has seen short-term gains, the long-term outlook is uncertain as driverless taxis may offer cheaper alternatives, potentially impacting Uber's market position [12][15] - **Lyft**: The company is planning to launch its own autonomous vehicle line but faces challenges in competing with larger players like Tesla, which is projected to capture a significant market share [14][15] - **Traditional Automakers**: Companies lacking robust electric and autonomous vehicle strategies may struggle to keep pace, particularly those reliant on traditional sales models [16][17]

（图片来源：摄图网） 6月25日，AI芯片巨头英伟达股价再创历史新高，达到154.31美元，市值跃升至3.76万亿美元，成功重 登全球市值第一的宝座。背后是英伟达在AI领域的持续深耕以及市场对其AI芯片强劲需求的双重推 动。 在英伟达年度股东大会上，首席执行官黄仁勋指出，除了人工智能(AI)这一核心驱动力，机器人技术将 是英伟达最具发展前景的市场，并预测自动驾驶汽车将成为该技术首个主要的商业应用领域。他强 调："我们公司在各个领域都有很多增长机会，而其中人工智能和机器人技术是最大的两个，代表着数 万亿美元级别的增长机会。" 黄仁勋表示："我们很久以前就不再把自己仅仅看作一家芯片公司了。我们正在朝着这样一个目标努 力：未来将有数十亿个机器人、数亿辆自动驾驶汽车，以及数十万个机器人工厂，它们都可以由英伟达 的技术提供动力。" 从全球机器人行业的现状来看，2023年全球机器人行业市场规模超660亿美元，五年行业复合增速为 11.27%，呈现出蓬勃发展的态势。 目前，全球机器人行业竞争激烈，涵盖工业机器人、服务机器人、特种机器人等多个领域。其中，服务 机器人市场占比最大，超过50%。 | 图表3: 全球机器人领域领先 ...

Investment Rating - The report maintains a "BUY" rating for Xiaomi Corporation with a price objective of HKD 66.00, while the current price is HKD 56.90 [1][7]. Core Insights - Xiaomi's recent product launch event showcased the YU7 electric vehicle (EV) with pricing that aligns with market expectations, and initial orders exceeded 289,000 units, significantly outperforming the SU7's first-day orders of around 89,000 units [1]. - The company is focusing on enhancing its autonomous driving capabilities and expanding its IoT ecosystem, with significant investments in autonomous driving development [2]. - Xiaomi's strategy emphasizes price performance in its smartphone and IoT offerings, maintaining competitive pricing while improving specifications [3]. Financial Estimates - The report provides financial projections for Xiaomi, estimating net income growth from CNY 19.273 billion in 2023 to CNY 56.845 billion by 2027, with a corresponding EPS increase from 0.69 to 2.19 [4][9]. - Sales are projected to grow from CNY 270.970 billion in 2023 to CNY 672.111 billion by 2027, indicating a robust growth trajectory [9]. - The report highlights a significant improvement in free cash flow per share, expected to rise from 1.41 in 2023 to 2.37 by 2027 [4]. Market Position and Product Launches - Xiaomi's YU7 EV is positioned competitively against peers like Tesla Model Y, with better price-performance metrics [1][15]. - The company has launched new smartphone models and other IoT products, reinforcing its commitment to innovation and market competitiveness [3]. - The report notes that Xiaomi's EV shipments are expected to reach 350,000 units by 2025, with the YU7 accounting for 24% of this volume [17][19].

Core Viewpoint - The article emphasizes the importance of a leading technology exchange platform in the field of autonomous driving, focusing on cutting-edge technologies and career development opportunities in the industry [1]. Group 1: Technologies and Research Areas - The platform covers a wide range of topics including embodied intelligence, visual large language models, world models, end-to-end autonomous driving, diffusion models, lane line detection, and 2D/3D object tracking [1]. - It also addresses advanced perception techniques such as BEV perception, multi-modal perception, occupancy detection, and multi-sensor fusion [1]. - Other areas of focus include transformer models, large models, point cloud processing, online mapping, SLAM, optical flow estimation, depth estimation, trajectory prediction, high-precision maps, NeRF, and Gaussian Splatting [1]. Group 2: Career Development and Community Engagement - The platform encourages discussions and exchanges among professionals and students interested in autonomous driving, AI job opportunities, and hardware configuration [1]. - It invites individuals to join the community by adding a WeChat assistant and providing their company/school, nickname, and research direction [1].

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15个 方向 学习 路线 收到了许多同学在论文发表上的求助，学校绕不开一篇三区论文硕士毕业，没有三篇CCF-A博士都毕不了 业，老师对这个新的方向不熟悉，开展不了工作。一直在为论文选题绞尽脑汁，实验设计总遇瓶颈，写作 逻辑混乱不清，投稿屡屡被拒！ 尤其是在前沿且复杂的自动驾驶、具身智能、机器人领域，真的有点力不 从心！ 一篇论文往往需要1-2年的时间筹备发出，对硕士来说，基本上贯穿了整个学术生涯。方法错误、走弯路、 无人指点是最消耗时间的！论文发表难，但也不是没有办法，有大佬带队，一年发几篇都很正常。筹备了 好久，我们服务大家的论文辅导正式推出了，面向自动驾驶/具身智能/机器人领域。 我们是谁？ 国内最大的AI类技术自媒体平台，IP包含自动驾驶之心/具身智能之心/3D视觉之心等平台，拥有国内最顶 尖的学术资源。深耕 自动驾驶、具身智能、机器人 方向多年。我们深刻理解这些交叉学科的挑战与机遇， 更明白一篇高质量论文对于学生（尤其是硕博生）学业和未来发展的重要性。 我们300+专职于自动驾驶/具身智能方向的老师。来自于全球QS排名前100 ...

GROWTH G E N T E X Q 3 2 0 2 4 I N V E S T O R P R E S E N T A T I O N O C T 2 5 , 2 0 2 4 1 OVER MARKET SAFE HARBOR FOR FORWARD-LOOKING STATEMENTS This presentation contains forward-looking statements within the meaning of the safe harbor provisions of the Private SecuritiesLitigation Reform Act of 1995. The statements contained in this communication that are not purely historical are forward-looking statements. Forward-looking statements give the Company's current expectations or forecasts of future event ...

RT Tesla Owners Silicon Valley (@teslaownersSV)We're not waiting for the future.. we're currently experiencing it!Every car capable of running FSD today is also capable of being a fully-autonomous robotaxi 🚕Insane 🤯🤯 https://t.co/xtKfEpRPHb ...

Could Pony AI be the next big autonomous driving stock? Wall Street analysts think so -- here's why.Pony AI (PONY 16.73%) is leading the race to deploy fully autonomous robotaxis -- and its recent advances could propel the stock to new highs. Discover how partnerships with Uber, Tencent, and Toyota position Pony AI for breakout growth, why analysts are bullish, and what this $1 trillion disruptor might deliver next.Stock prices used were the market prices of June 16, 2025. The video was published on June 23 ...

Core Viewpoint - The RoboSense Challenge 2025 aims to systematically evaluate the perception and understanding capabilities of robots in real-world scenarios, addressing key challenges in stability, robustness, and generalization of perception systems [2][43]. Group 1: Challenge Overview - The challenge consists of five major tracks focusing on real-world tasks, including language-driven autonomous driving, social navigation, sensor placement optimization, cross-modal drone navigation, and cross-platform 3D object detection [8][9][29][35]. - The event is co-hosted by several prestigious institutions and will be officially recognized at the IROS 2025 conference in Hangzhou, China [5][43]. Group 2: Task Details - **Language-Driven Autonomous Driving**: This track evaluates the ability of robots to understand and act upon natural language commands, aiming for a deep coupling of language, perception, and planning [10][11]. - **Social Navigation**: Focuses on robots navigating shared spaces with humans, emphasizing social compliance and safety [17][18]. - **Sensor Placement Optimization**: Assesses the robustness of perception models under various sensor configurations, crucial for reliable deployment in autonomous systems [23][24]. - **Cross-Modal Drone Navigation**: Involves training models to retrieve aerial images based on natural language descriptions, enhancing the efficiency of urban inspections and disaster responses [29][30]. - **Cross-Platform 3D Object Detection**: Aims to develop models that maintain high performance across different robotic platforms without extensive retraining [35][36]. Group 3: Evaluation and Performance Metrics - Each task includes specific performance metrics and baseline models, with detailed requirements for training and evaluation [16][21][28][42]. - The challenge encourages innovative solutions and provides a prize pool of up to $10,000, shared across the five tracks [42]. Group 4: Timeline and Participation - The challenge will officially start on June 15, 2025, with key deadlines for submissions and evaluations leading up to the award ceremony on October 19, 2025 [4][42]. - Participants are encouraged to engage in this global initiative to advance robotic perception technologies [43].

Robotaxi avoids a sign on the ground https://t.co/kA5dDyjz09 ...