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小鹏超视距自动驾驶VLA是如何实现的?
自动驾驶之心· 2025-08-25 23:34
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 今天自动驾驶之心为大家分享 中佛罗里达大学和小鹏汽车ACMMM25中稿的最新 工作 - NavigScene ! 连接局部感知和全局导航,实现超视距 自动驾驶! 如果您有相关工作需要分享,请在文末联系我们! 自动驾驶课程学习与技术交流群事宜,也欢迎添加小助理微信AIDriver004做进一步咨询 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 论文作者 | Qucheng Peng等 编辑 | 自动驾驶之心 写在前面 & 笔者的个人理解 自动驾驶系统在基于局部视觉信息的感知、预测和规划方面取得了显著进展,但它们难以整合人类驾驶员通常使用的更广泛的导航背景。为此,小鹏汽车的团队 提出了NavigScene,期望解决局部传感器数据与全局导航信息之间的关键差距,NavigScene是一种辅助的导航引导自然语言数据集,可在自主驾驶系统中模拟类人 驾驶环境。此外开发了三种互补的方法来利用NavigScene:(1)导航引导推理,通过在提示方法中结合导航上下文来增强视觉-语言模型;(2)导航引导偏好优 化,这是一种强 ...
智己L4级Robotaxi上海度假区专线今日正式运营
Core Insights - The launch of the L4-level Robotaxi tourism line by Zhiji Auto, in collaboration with Xiangdao Mobility and Saike Intelligent, marks a significant advancement in autonomous driving services in Shanghai [1] - This project connects the Shanghai International Tourism Resort with Pudong International Airport, showcasing the integration of high-speed roads and surface streets for autonomous vehicles [1] Company Developments - Zhiji Auto has received the Shanghai Intelligent Connected Vehicle high-speed road demonstration application license, enabling the operation of its Robotaxi service [1] - Users can access the Robotaxi service through the Xiangdao Mobility app, allowing for multi-point calls at various locations including Shanghai Disneyland Hotel and the airport connection station [1] Industry Impact - The launch represents Shanghai's first autonomous driving demonstration project that operates on both high-speed and ground roads, indicating a step forward in the development of smart transportation solutions [1] - The initiative is expected to enhance the tourism experience by providing seamless transportation options for visitors traveling between key destinations [1]
狂拒20位人类司机后,我终于坐上了“无人车”
Core Viewpoint - Uber is expanding its autonomous vehicle services in multiple cities, including Atlanta, to compete with rivals like Tesla and Lyft, as consumer interest in self-driving cars grows [1][5]. Group 1: Uber's Autonomous Vehicle Services - Uber has started offering rides in Waymo's autonomous vehicles in Atlanta since June, allowing users to opt for self-driving cars [1]. - Users have reported needing to cancel multiple human driver requests to successfully match with a Waymo autonomous vehicle, indicating a growing demand for this service [1][3]. - Uber's spokesperson mentioned that the fleet of autonomous vehicles in Atlanta will increase to "hundreds" in the coming years, with dozens currently operational [5]. Group 2: User Experience and Preferences - Users like Nate Galesich have taken numerous rides in Waymo's autonomous vehicles, with some reporting an average of 35 rides since the service began [1][2]. - The rides are typically short, averaging 4 miles and costing under $12, primarily on city streets rather than highways [5]. - Users are encouraged to avoid peak hours and select non-highway routes to increase their chances of matching with an autonomous vehicle [5]. Group 3: Public Perception and Concerns - Despite the growing interest, many potential passengers still express safety concerns regarding autonomous vehicles, influenced by negative news about accidents [6]. - A survey indicated that 17% of Americans are unwilling to use fully or semi-autonomous vehicles, although urban residents show more openness to trying them [6]. - Galesich believes that acceptance of autonomous vehicles will grow over time, similar to the gradual adoption of smartphones after the launch of the iPhone [6].
全球首款L4级私家车要登场了
汽车商业评论· 2025-08-17 23:05
Core Viewpoint - Tensor aims to revolutionize personal mobility by introducing the world's first privately owned autonomous vehicle, the Tensor Robocar, set for delivery in late 2026 in select markets [4][8]. Group 1: Product Features and Technology - The Tensor Robocar features a self-developed L4 autonomous driving stack, equipped with five LiDAR sensors and 37 cameras, ensuring comprehensive environmental perception [4]. - It supports full-level switching from L0 to L4 and includes innovative cabin designs such as a foldable steering wheel and a sliding central control screen for enhanced user interaction [7][9]. - The vehicle's operational capabilities include automatic parking, self-diagnosis, and maintenance management, making autonomous driving a readily available service for users [7]. Group 2: Strategic Partnerships - Tensor collaborates with NVIDIA for onboard supercomputing, VinFast for large-scale manufacturing, and Marsh for specialized insurance solutions tailored for autonomous vehicles [4][7]. - These partnerships are crucial for ensuring product reliability, manufacturing consistency, and risk management in the deployment of the Robocar [7]. Group 3: Market Positioning and Strategy - Unlike traditional Robotaxi models that focus on fleet ownership, Tensor emphasizes personal ownership, promoting freedom, privacy, and personalization in autonomous driving [9]. - The company believes that personal vehicles can better adapt to user preferences and local data processing, reducing privacy concerns associated with cloud reliance [9]. - Tensor's approach aims to create a new paradigm in the automotive industry, positioning the Robocar as a personal AI agent that enhances user autonomy and privacy [9]. Group 4: Competitive Landscape - The introduction of the Robocar highlights the competitive dynamics in the autonomous vehicle market, where companies like Waymo, Zoox, and Tesla are pursuing different strategies [11][20]. - Waymo focuses on scaling its fleet services, while Zoox leverages regulatory breakthroughs to advance its unique vehicle design [13][15]. - Tesla is exploring a bottom-up operational model, while traditional automakers like Volkswagen emphasize a fleet and ecosystem approach [20][22]. Group 5: Future Outlook - The success of Tensor's strategy will depend on regulatory approvals and real-world testing, as it seeks to establish a foothold in the market by 2026 [9][23]. - If successful, Tensor could redefine the concept of autonomous driving from a fleet-based model to a personal ownership model, potentially reshaping industry standards [23].
Alphabet(GOOGL.US)加速推进自动驾驶 拟于明年在达拉斯推出服务
智通财经网· 2025-07-29 02:15
Core Insights - Waymo plans to launch an autonomous taxi service in Dallas next year in partnership with Avis Budget Group, aiming to expand its business across the U.S. and move away from its collaboration with Uber [1] - This partnership marks Avis's entry into the autonomous taxi fleet management sector, positioning it as a competitor to Uber and Lyft, which are also developing similar services [1] - Waymo's CEO highlighted the collaboration as a significant milestone in Avis's evolution from a car rental company to a leader in fleet management and operational services for a broader mobility ecosystem [1] Company Developments - Waymo currently provides services in five cities, including Phoenix, San Francisco, and Los Angeles, and has partnered with Uber in Austin and Atlanta [2] - In Dallas, Waymo will utilize its app for ride-hailing, while Avis will manage vehicle operations, maintenance, and infrastructure [1][2] - Waymo is also expanding its service area in Austin, more than doubling its coverage, and has begun testing in New York City with plans to do the same in Philadelphia [2] Competitive Landscape - The autonomous taxi market in Dallas is expected to be highly competitive, with Uber and Lyft also planning to leverage their partnerships for similar services [2] - Uber is collaborating with a local company to launch its autonomous services later this year, while Lyft aims to partner with Mobileye for its own offerings next year [2] - Waymo may face intensified competition from Tesla, which is also expanding its autonomous vehicle capabilities [2]
特斯拉盘前转涨,现涨0.37%,报道称特斯拉计划本周末在旧金山推出Robotaxi。
news flash· 2025-07-25 11:45
Core Viewpoint - Tesla's stock has seen a pre-market increase, currently up by 0.37%, following reports that the company plans to launch its Robotaxi service in San Francisco this weekend [1] Group 1 - Tesla's stock performance indicates positive market sentiment ahead of the Robotaxi launch [1] - The planned launch of Robotaxi in San Francisco represents a significant step in Tesla's autonomous vehicle strategy [1]
停车后自动转向!特斯拉Robotaxi发生首起碰撞事故 监管部门启动调查 “纯视觉”技术受质疑
Mei Ri Jing Ji Xin Wen· 2025-07-09 11:12
Core Viewpoint - Tesla's Robotaxi project has faced scrutiny following its first public collision incident during a trial run in Austin, Texas, raising questions about the viability of its "pure vision" autonomous driving technology [2][3][4]. Group 1: Incident Details - The collision involved a Tesla Robotaxi that unexpectedly accelerated and turned, lightly scraping a stationary vehicle after the passenger exited [4]. - The incident was recorded and shared publicly, highlighting the potential risks associated with the Robotaxi project during its testing phase [4][5]. - Although no injuries occurred, the symbolic significance of the incident is substantial, given its public documentation and the ongoing testing of the Robotaxi [4][7]. Group 2: Regulatory Response - Regulatory bodies, including the National Highway Traffic Safety Administration (NHTSA), have initiated investigations, requesting detailed operational data from Tesla regarding the incident [8]. - NHTSA's inquiry focuses on the vehicle's perception logic, decision-making processes, and overall system evaluation, amid concerns of potential systemic flaws [8]. Group 3: Technical Critique - The incident has intensified scrutiny on Tesla's reliance on a "pure vision" approach, which utilizes only cameras for autonomous driving, contrasting with competitors that employ a multi-sensor strategy [9][10]. - Experts have pointed out that the collision exemplifies the limitations of vision-based systems in low-light and complex environments, where traditional sensors like LiDAR may provide critical redundancy [9][10]. - Tesla's camera system, which includes eight 5-megapixel cameras, has been criticized for its lower resolution compared to other technologies, raising concerns about its performance in challenging conditions [10]. Group 4: Industry Comparison - Industry analysts have noted that Tesla's current autonomous driving capabilities appear to be on par with those of Waymo from three years ago, suggesting a stagnation in technological advancement [11]. - In contrast, competitors like Waymo and Zoox are adopting a comprehensive sensor suite, including cameras, radar, and LiDAR, to enhance safety and performance [10].
广东制造的“新”密码藏于何处
Jin Rong Shi Bao· 2025-07-09 03:23
Group 1: Transformation of Guangdong Manufacturing - Guangdong has transformed from a "world factory" to a "smart manufacturing highland," showcasing technological advancements in various sectors such as autonomous driving, drones, and smart equipment [1] - The province has maintained its position as the leading region in GDP for 36 consecutive years, with high-tech manufacturing value added increasing by 10.2% in 2024, accounting for 32.0% of the total industrial value added [1] Group 2: Growth of the Drone Industry - Guangdong's drone industry is rapidly advancing, with over 15,000 companies in the low-altitude economy, generating a market size exceeding 100 billion yuan [2] - Shenzhen's low-altitude aerospace industry achieved double-digit growth in 2024, while Zhongshan's drone sector generated over 5.7 billion yuan in sales [2] Group 3: Robotics and Automation - Guangdong has become China's largest intelligent robot industry cluster, with revenues exceeding 90 billion yuan in 2024 [6] - The Guangdong Intelligent Robot Research Institute and Shenzhen AI and Robotics Research Institute are fostering innovation and application in the robotics sector [7] Group 4: Financial Support for Innovation - Since 2022, Guangdong has signed strategic cooperation agreements with 23 national financial institutions, resulting in 233 specific cooperation projects worth 1.31 trillion yuan [16] - The province's technology credit balance grew by 23% in 2024, with private equity and venture capital management numbers leading the nation [17] Group 5: Talent Development and Education - Guangdong is implementing the "Million Talents Gather in South Guangdong" initiative to attract graduates and various talents, with over 1.2 million job openings identified [19] - The province has established 28 city-level industry-education joint bodies and 216 open regional industry-education integration practice centers [21]
大众“截胡”特斯拉
汽车商业评论· 2025-07-08 15:44
Core Viewpoint - The Robotaxi market is becoming increasingly competitive, with Tesla and Volkswagen making significant strides in autonomous driving technology and deployment [2][4][20]. Group 1: Tesla's Robotaxi Launch - Tesla launched its highly anticipated Robotaxi service in Austin, Texas, with an initial deployment of about 10 vehicles, which led to an 8.23% increase in its stock price [3][4]. - The Robotaxi's performance has faced scrutiny, with reports of issues such as sudden braking and speeding [4][28]. - Tesla's Robotaxi is equipped with a pure vision system (HW 4.0) and claims an accident rate of only 0.15 per million kilometers, compared to Waymo's 1.16 [27]. Group 2: Volkswagen's Strategy - Volkswagen is testing approximately 30 Robotaxis in Hamburg, Germany, with plans to expand to the U.S. market by 2026 through a partnership with Uber [5][15]. - The company aims to remove safety drivers by 2027 in Europe, marking a significant milestone in its autonomous driving ambitions [6][21]. - Volkswagen's approach contrasts with Tesla's, as it collaborates with Mobileye for its autonomous driving system, while also integrating its software subsidiary Cariad for vehicle control [14][16]. Group 3: European Market Dynamics - Europe has been slower to adopt autonomous driving due to stricter regulations and a lack of local tech giants, but it is now accelerating efforts to innovate in the automotive sector [9][19]. - The European Union has introduced action plans to simplify testing processes for autonomous vehicles, aiming to boost the struggling automotive industry [18]. - Despite the challenges, Volkswagen's strategy is focused on competing in the U.S. market, where it will face direct competition from established players like Waymo and Tesla [20][32]. Group 4: Competitive Landscape - Waymo operates a fleet of 1,500 autonomous vehicles in cities like San Francisco and Phoenix, having completed over 10 million rides, but faces high per-vehicle costs as a barrier to commercialization [25][26]. - The collaboration between Uber and various autonomous driving partners, including Motional and WeRide, is shaping the Robotaxi ecosystem in major U.S. cities [23]. - Volkswagen's strategy emphasizes gradual expansion based on trust rather than rapid scaling, as stated by MOIA's CEO [31].
新技术亮相国际交通展,北京将迎来自动驾驶新车型
Core Insights - The 17th International Transportation Technology and Equipment Exhibition showcased new technologies in the transportation sector, including next-generation autonomous vehicles and advanced charging equipment [1][12] Group 1: Autonomous Vehicles - Multiple brands presented next-generation autonomous vehicles at the exhibition, with a notable model from Didi in collaboration with GAC, featuring L4-level capabilities and 33 sensors for enhanced safety and recognition in various conditions [1][3] - Xiaoma Zhixing displayed its seventh-generation Robotaxi, equipped with 34 sensors, achieving 500,000 hours of fully autonomous operation, demonstrating a safety level ten times higher than human drivers [3] Group 2: Charging Equipment - The exhibition highlighted advancements in charging equipment, including a 2000A liquid-cooled supercharger that improves charging efficiency by 30%, and a flexible shared supercharging station with a maximum output of 1600kW [5][7] - Didi showcased a customized liquid-cooled flexible shared supercharging pile, capable of charging in one minute for a range of 100 kilometers, optimizing power distribution during peak charging times [7] Group 3: Intelligent Road Maintenance Equipment - The exhibition featured intelligent road maintenance equipment, including a vehicle equipped with a multi-functional road condition detection system that enhances efficiency and accuracy in inspections [9][11] - Dongfeng's AI intelligent maintenance vehicle utilizes advanced perception and decision-making technology for efficient highway maintenance tasks [11]