Waymo is in expansion mode as competitors fail to get fully autonomous vehicles (without a safety driver) on the road. In this podcast, Motley Fool contributors discuss Waymo's approach and whether there's a sustainable lead in autonomy.In this podcast, Motley Fool contributors Travis Hoium, Rachel Warren, and Jon Quast discuss:Waymo's dominance.Can Waymo bring costs down?AV stocks to watch.The future of ride-sharing.To catch full episodes of all The Motley Fool's free podcasts, check out our podcast center ...

Nvidia announces new open AI models and tools for autonomous driving research https://t.co/epQF1dvVUW ...

Core Viewpoint - BofA Securities initiated coverage on WeRide Inc. with a Buy rating and a price target of $12 per ADR [1] Group 1: Company Overview - WeRide is described as an emerging global provider of Level 4 autonomous-driving solutions [2] - The company is projected to significantly expand its fleet and achieve profitability by 2029 [2] Group 2: Growth Catalysts - Key catalysts for growth include a broader international rollout of robotaxi operations supported by strategic partnerships and first-mover advantages [2] - Improved profitability in China is expected as the company scales its operations [2] - Accelerated adoption of WeRide's robobus, robovan, and robosweeper offerings is anticipated, all integrated within the WeRide One platform [2] Group 3: Valuation Methodology - BofA's price target of $12 per ADR is based on an average of price-to-sales (P/S) and discounted cash flow (DCF) valuation methodologies [3] - The equivalent target for Hong Kong-listed shares is HKD 31 [3]

Core Viewpoint - The article emphasizes the importance of end-to-end production in the automotive industry, highlighting the scarcity of qualified talent and the need for comprehensive training programs to address various challenges in this field [1][3]. Course Overview - The course is designed to cover essential algorithms related to end-to-end production, including single-stage and two-stage frameworks, reinforcement learning applications, and trajectory optimization [3][9]. - It aims to provide practical experience and insights into production challenges, focusing on real-world applications and expert guidance [3][16]. Course Structure - Chapter 1 introduces the overview of end-to-end tasks, discussing the integration of perception and control algorithms, and the importance of efficient data handling [9]. - Chapter 2 focuses on the two-stage end-to-end algorithm framework, explaining its modeling and information transfer processes [10]. - Chapter 3 covers the single-stage end-to-end algorithm framework, emphasizing its advantages in information transmission and performance [11]. - Chapter 4 discusses the application of navigation information in autonomous driving, detailing the formats and encoding methods of navigation maps [12]. - Chapter 5 introduces reinforcement learning algorithms, highlighting their necessity in complementing imitation learning for better generalization [13]. - Chapter 6 involves practical projects on trajectory output optimization, combining imitation and reinforcement learning techniques [14]. - Chapter 7 presents fallback strategies for trajectory planning, focusing on smoothing algorithms to enhance output reliability [15]. - Chapter 8 shares production experiences from various perspectives, offering strategies for optimizing system capabilities [16]. Target Audience - The course is aimed at advanced learners with a foundational understanding of autonomous driving algorithms, reinforcement learning, and programming skills [17][18].

作者 | SPiriT 编辑 | 自动驾驶之心 原文链接： https://zhuanlan.zhihu.com/p/1888242399811175395 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 原文信息： https://hgao-cv.github.io/RAD/ TLDR il ：imitation learning ; rl：reinforcement learning 做了什么？ 第一个提出基于 3dgs 来进行 rl 用来做 e2e policy。分以下三步走： 有啥提升？ 主要是碰撞率相比纯 il 少了 3 倍 有啥局限？ 3dgs-env缺乏交互，只是log replay；3dgs 渲染非刚性行人、视野外信息、低光场景等效果不行 个人总结 总体来说，读起来不费劲，行文舒服、图文清楚、实验充分，有很实际的工程化改进。核心亮点是使用 3dgs 来构建 sensor-level 的 env，最后结果确实比 il 的方案 要好一些。 工程化改进较多， ...

点击注册小程序 查看完整报告 特别申明： 本订阅号中所涉及的证券研究信息由光大证券研究所编写，仅面向光大证券专业投资者客户，用作新媒体形势下研究 信息和研究观点的沟通交流。非光大证券专业投资者客户，请勿订阅、接收或使用本订阅号中的任何信息。本订阅号 难以设置访问权限，若给您造成不便，敬请谅解。光大证券研究所不会因关注、收到或阅读本订阅号推送内容而视相 关人员为光大证券的客户。 报告摘要 3Q25业绩披露： 3Q25小马智行总收入同比+72%/环比+19%至2,544万美元，毛利率同比+9pcts/环比+2pcts至18%，Non- GAAP归母净亏损同环比扩大33%/19%至5,472万美元。 Robotaxi收入同环比高增，SG&A费用逐步优化： 1）分业务看，3Q25小马智行Robotaxi服务收入同比+89%/环比+339%至669万美元（收入占比同比+2pcts/ 环比+19pcts至26%，其中乘客车费收入同比增长超200%）、Robotruck服务收入同比+9%/环比+7%至 1,018万美元（收入占比同比-23pcts/环比-4pcts至40%）、技术授权与服务应用收入同比+355%/环比-18 ...

We recently published 10 Best Small-Cap Stocks With Huge Potential According to Reddit as Market Looks Beyond AI Trade. Aurora Innovation Inc (NASDAQ:AUR) is one of the best small-cap stocks according to Redditors. Pennsylvania-based self-driving technology company Aurora Innovation Inc (NASDAQ:AUR) is one of the best small-cap stocks to buy, according to Redditors. The company sells self-driving hardware, software, and data services for different vehicle types. The company’s management said in a recent e ...

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 早鸟优惠！名额仅限「30名」 讲师介绍 3DGS的技术迭代速度远超想象。静态重建3DGS、动态重建4DGS、表面重建2DGS，再到feed-forward 3DGS。目前该领域在学术界和工业界都很吃得开，很多同 学想入门却苦于没有有效的学习路线图：既要吃透点云处理、深度学习等理论，又要掌握实时渲染、代码实战，零散查资料自学往往越学越懵，遇到问题连个请 教的人都没有。 为此自动驾驶之心联合 工业界算法专家 开展了这门 《3DGS理论与算法实战教程》！ 我们花了两个月的时间设计了 一套3DGS的学习路线图，从 原理到实战细致展开。全面吃透3DGS技术栈。 Chris：QS20 硕士，现任某Tier1厂算法专家，目前从事端到端仿真、多模态大模型、世界模型等前沿算法的预研和量产，参与过全球TOP主机厂仿真引擎以及工具 链开发，拥有丰富的三维重建战经验。 课程大纲 这门课程讲如何展开 第一章：3DGS的背景知识 第一章主要是课程的概述。 很多刚入门的同学往往一头雾水，尤其是直接接触3DGS领域的同学。所以本章节先从计算 ...

WeRide Inc. (NASDAQ:WRD) is one of the Chinese tech stocks to buy now. On November 24, WeRide Inc. (NASDAQ:WRD) published its unaudited third-quarter 2025 financial results in which it highlighted explosive growth tied to robotaxi services and new international approvals. The quarter’s revenue touched RMB 171 million ($24.0 million), up 144.3% compared with Q3 2024. This growth is the company’s biggest quarterly jump, and management noted that the surge came from wider global fleet rollout and deeper servi ...

Pony AI Inc. (NASDAQ:PONY) is one of the Chinese tech stocks to buy now. On November 18, Pony AI Inc. (NASDAQ:PONY) revealed its fourth-generation (Gen-4) lineup of autonomous trucks. The trucks were created together with partners such as SANY Truck and Dongfeng Liuzhou Motor. Management stated that this move aims to push forward large-scale use of driverless freight in China. Pony AI (PONY) Unveils Gen-4 Autonomous Trucks, Citi Cuts Target to $24.50 The first two truck types will use the newest battery- ...