辅助驾驶汽车
Search documents
“乘用车默认百公里加速应不小于5秒,车门外把手应具备机械释放功能”,公安部起草的强制性国标征求意见
Mei Ri Jing Ji Xin Wen· 2025-11-13 02:33
Core Viewpoint - The Ministry of Public Security has drafted a national standard plan titled "Technical Conditions for Motor Vehicle Operation Safety," which is open for public consultation and aims to replace the existing GB 7258 standard within six months after the consultation period [1][3]. Group 1: Background and Necessity - The current GB 7258 standard, established in 2017, is deemed inadequate to meet the evolving demands of motor vehicle safety management and technological advancements in the automotive industry [3]. - The rapid increase in the penetration of new energy vehicles and vehicles with assisted driving functions has led to rising traffic safety concerns and accidents, highlighting the need for updated technical requirements [3]. Group 2: Key Changes in the Draft - The draft proposes enhanced safety requirements for new energy vehicles, including: - New requirements for regenerative braking systems and the regulation of "single pedal" mode [4]. - Introduction of a pedal misapplication suppression feature for electric and plug-in hybrid vehicles [4]. - Safety application requirements for in-vehicle entertainment systems, mandating the disabling of screens and entertainment functions when the vehicle exceeds 10 km/h [4]. - Safety requirements for power batteries in new energy vehicles, ensuring compliance with GB 38031 standards [4]. Group 3: Advanced Driver Assistance Systems (ADAS) - The draft includes new safety technical requirements for assisted driving vehicles, such as: - Conditions for activating and deactivating combined driving assistance systems [4]. - Requirements for detecting driver hand and gaze disengagement [4]. - Specifications for driver authorization to activate combined driving assistance features [4]. - Enhanced human-machine interaction requirements between the driver and the assistance system [4]. Group 4: Safety Mechanisms and Features - The draft establishes a multi-condition verification mechanism for system activation, requiring drivers to perform specific actions and meet several core conditions before activation [5]. - Continuous monitoring of driver engagement is mandated when the vehicle speed exceeds 10 km/h, potentially impacting the use of popular "hands-free" driving technologies [6]. Group 5: Additional Safety Measures - New requirements for passenger vehicles include: - Default settings for acceleration times of no less than 5 seconds for 100 km/h after ignition [8]. - Implementation of pedal misapplication suppression features to prevent unintended acceleration [8]. - The draft addresses safety concerns related to electronic door locks and emergency access, ensuring that doors unlock automatically during critical situations [9]. - Specifications for window glass and emergency escape features are outlined to enhance passenger safety [10].
下一代智能体如何跨界进化(唠“科”)
Ren Min Ri Bao· 2025-05-09 22:29
Core Insights - The article discusses the evolution of AI agents, highlighting their transition from basic programmed responses to advanced autonomous learning capabilities [1][2][3] Group 1: Evolution of AI Agents - Early AI agents were limited to memorization and could not adapt to new situations, exemplified by IBM's Deep Blue, which relied on stored chess moves [2] - The introduction of AlphaGo in 2014 marked a shift towards self-learning, allowing AI agents to improve their skills through experience [2] - The emergence of large language models like ChatGPT in 2022 demonstrated a significant leap in AI capabilities, enabling agents to interpret and generate new information based on context [2] Group 2: Future of AI Agents - Next-generation AI agents are expected to learn autonomously by interacting with their environment, requiring minimal initial data to acquire new skills [3] - These advanced agents will be capable of performing complex tasks in various settings, such as cooking based on personal preferences or assisting in medical diagnoses [3] - Current AI agents still face limitations in cross-task and cross-environment adaptability, which remains a key development goal for the future [3] Group 3: Ethical Considerations - As AI technology progresses from digital to physical realms, the importance of trustworthiness in AI agents increases, necessitating ethical guidelines and boundaries for their behavior [4]