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运动声源快速定位的声达时差法 被引量:10
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作者 杨殿阁 张凯 +2 位作者 苗丰 温俊杰 连小珉 《声学学报》 EI CSCD 北大核心 2020年第1期69-76,共8页
针对声达时差法只能用于非运动声源定位的问题,本文提出一种运动声源快速定位方法。该方法以声达时差为基本定位原理,基于声源计算位置对多普勒效应进行解耦并进行声信号多普勒效应修正,根据三角定位方法构建声传播空间矩阵,以声源位置... 针对声达时差法只能用于非运动声源定位的问题,本文提出一种运动声源快速定位方法。该方法以声达时差为基本定位原理,基于声源计算位置对多普勒效应进行解耦并进行声信号多普勒效应修正,根据三角定位方法构建声传播空间矩阵,以声源位置偏差度为目标基于单纯形优化搜索算法进行声源位置快速逼近,实现了对匀速直线运动的单声源的定位追踪,提高定位实时性。该方法将声达时差法拓展到运动声源的定位,同时解决了消除多普勒效应带来的计算过程复杂、运算量大的问题,仅用4个传声器就可实现运动声源的快速定位,突破了传统运动声源识别中对大传声器阵列的依赖。仿真实验和实车运动声源识别实验结果证明了该方法的有效性,本研究为短时发声运动声源的识别提供了一种简便、高效的方法。 展开更多
关键词 传声器阵列 多普勒效应 快速定位 时差法
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对当前智能汽车数据安全的6点看法 被引量:2
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作者 杨殿阁 《汽车纵横》 2021年第5期90-92,共3页
随着智能汽车的快速发展,相应的数据安全问题日益凹显。因为涉及普通消费者个人的重要数据信息,在社会上引起了广泛关注。数据全生命周期存在风险互联网促进了智能汽车的发展,使汽车从过去的信息孤岛变成了现在网联的信息节点,这也给汽... 随着智能汽车的快速发展,相应的数据安全问题日益凹显。因为涉及普通消费者个人的重要数据信息,在社会上引起了广泛关注。数据全生命周期存在风险互联网促进了智能汽车的发展,使汽车从过去的信息孤岛变成了现在网联的信息节点,这也给汽车数据安全带来了潜在的风险,简单归纳,涉及三大类:第一类,对行车安全的影响。联网让网络上的黑客有机会攻入车辆. 展开更多
关键词 数据安全 信息孤岛 智能汽车 黑客 全生命周期 互联网 信息节点 数据信息
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软件定义汽车技术体系的研究 被引量:31
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作者 孟天闯 李佳幸 +2 位作者 黄晋 杨殿阁 钟志华 《汽车工程》 EI CSCD 北大核心 2021年第4期459-468,共10页
当今,智能汽车已成为全球汽车产业的战略发展方向,汽车技术与工程核心逐渐从传统硬件层面转移到软件层面,软件定义汽车成为未来汽车发展的重要趋势。本文中通过对比分析传统汽车与软件定义汽车,提出软件定义汽车整车开发、整车物理结构... 当今,智能汽车已成为全球汽车产业的战略发展方向,汽车技术与工程核心逐渐从传统硬件层面转移到软件层面,软件定义汽车成为未来汽车发展的重要趋势。本文中通过对比分析传统汽车与软件定义汽车,提出软件定义汽车整车开发、整车物理结构和整车信息结构,以及技术体系。 展开更多
关键词 软件定义汽车 技术体系 整车开发 整车物理结构 整车信息结构
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基于端到端学习机制的高速公路行驶轨迹曲率预测 被引量:4
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作者 焦新宇 杨殿阁 +3 位作者 江昆 曹重 谢诗超 王思佳 《汽车工程》 EI CSCD 北大核心 2018年第12期1494-1499,共6页
本文中基于端到端学习机制进行了高速公路场景下的车辆行驶轨迹预测。首先,为量化表达行驶轨迹,并对预测结果进行合理评价,建立了行车轨迹曲率预测模型与评价体系。然后,针对端到端的行驶轨迹曲率预测训练集中驾驶员行为决策的不确定性... 本文中基于端到端学习机制进行了高速公路场景下的车辆行驶轨迹预测。首先,为量化表达行驶轨迹,并对预测结果进行合理评价,建立了行车轨迹曲率预测模型与评价体系。然后,针对端到端的行驶轨迹曲率预测训练集中驾驶员行为决策的不确定性导致性能不佳的问题,采用场景切分和特征预提取的方法进行优化和实车试验验证。结果表明,该方法提高了高速公路行驶轨迹预测的准确性和可靠性。 展开更多
关键词 智能汽车 端到端学习机制 轨迹预测 场景切分 特征预提取
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Intelligent Vehicle Electrical Power Supply System with Central Coordinated Protection 被引量:2
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作者 yang diange KONG Weiwei +1 位作者 LI Bing LIAN Xiaomin 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2016年第4期781-791,共11页
The current research of vehicle electrical power supply system mainly focuses on electric vehicles(EV) and hybrid electric vehicles(HEV).The vehicle electrical power supply system used in traditional fuel vehicles... The current research of vehicle electrical power supply system mainly focuses on electric vehicles(EV) and hybrid electric vehicles(HEV).The vehicle electrical power supply system used in traditional fuel vehicles is rather simple and imperfect;electrical/electronic devices(EEDs) applied in vehicles are usually directly connected with the vehicle's battery.With increasing numbers of EEDs being applied in traditional fuel vehicles,vehicle electrical power supply systems should be optimized and improved so that they can work more safely and more effectively.In this paper,a new vehicle electrical power supply system for traditional fuel vehicles,which accounts for all electrical/electronic devices and complex work conditions,is proposed based on a smart electrical/electronic device(SEED) system.Working as an independent intelligent electrical power supply network,the proposed system is isolated from the electrical control module and communication network,and access to the vehicle system is made through a bus interface.This results in a clean controller power supply with no electromagnetic interference.A new practical battery state of charge(So C) estimation method is also proposed to achieve more accurate So C estimation for lead-acid batteries in traditional fuel vehicles so that the intelligent power system can monitor the status of the battery for an over-current state in each power channel.Optimized protection methods are also used to ensure power supply safety.Experiments and tests on a traditional fuel vehicle are performed,and the results reveal that the battery So C is calculated quickly and sufficiently accurately for battery over-discharge protection.Over-current protection is achieved,and the entire vehicle's power utilization is optimized.For traditional fuel vehicles,the proposed vehicle electrical power supply system is comprehensive and has a unified system architecture,enhancing system reliability and security. 展开更多
关键词 vehicle electrical power supply battery management vehicle electrical system traditional fuel vehicle
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Intelligent and connected vehicles: Current status and future perspectives 被引量:36
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作者 yang diange JIANG Kun +7 位作者 ZHAO Ding YU ChunLei CAO Zhong XIE ShiChao XIAO Zhongyang JIAO XinYu WANG SiJia ZHANG Kai 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2018年第10期1446-1471,共26页
Intelligent connected vehicles(ICVs) are believed to change people's life in the near future by making the transportation safer,cleaner and more comfortable. Although many prototypes of ICVs have been developed to... Intelligent connected vehicles(ICVs) are believed to change people's life in the near future by making the transportation safer,cleaner and more comfortable. Although many prototypes of ICVs have been developed to prove the concept of autonomous driving and the feasibility of improving traffic efficiency, there still exists a significant gap before achieving mass production of high-level ICVs. The objective of this study is to present an overview of both the state of the art and future perspectives of key technologies that are needed for future ICVs. It is a challenging task to review all related works and predict their future perspectives, especially for such a complex and interdisciplinary area of research. This article is organized to overview the ICV key technologies by answering three questions: what are the milestones in the history of ICVs; what are the electronic components needed for building an ICV platform; and what are the essential algorithms to enable intelligent driving? To answer the first question, the article has reviewed the history and the development milestones of ICVs. For the second question, the recent technology advances in electrical/electronic architecture, sensors, and actuators are presented. For the third question, the article focuses on the algorithms in decision making, as the perception and control algorithm are covered in the development of sensors and actuators. To achieve correct decision-making, there exist two different approaches: the principle-based approach and data-driven approach. The advantages and limitations of both approaches are explained and analyzed. Currently automotive engineers are concerned more with the vehicle platform technology, whereas the academic researchers prefer to focus on theoretical algorithms. However, only by incorporating elements from both worlds can we accelerate the production of high-level ICVs. 展开更多
关键词 intelligent connected vehicle (ICV) autonomous driving artificial intelligence advanced driver assistance systems(ADAS) electrical/electronic architecture (EEA) environmental perception DECISION-MAKING ICV computation platform
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