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IEEE International Conference on Vehicular Electronics and Safety, 2005.最新文献

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A type of voting diffusion model and its application in defect detection in aluminum castings 一种投票扩散模型及其在铝铸件缺陷检测中的应用
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563661
Situ Wuchao, Huang Qian, Wu Yuan
We make use of a type of voting diffusion model for casting image processing. This model is based on an anisotropic diffusion equation driven by a diffusion tensor, whose structure depends on the coupled time-delay regularization of a matrix. The diffusion tensor determines the directions of the diffusion as well as the speed in these directions. Experimental results show that this model is superior to the PM model and other methods based on classical edge detection in processing the casting images without affecting its interesting features. Namely, it has better preservation of the flaws.
我们利用一种投票扩散模型对铸造图像进行处理。该模型基于扩散张量驱动的各向异性扩散方程,扩散张量的结构取决于矩阵的耦合时延正则化。扩散张量决定了扩散的方向以及在这些方向上的速度。实验结果表明,在不影响铸件图像有趣特征的情况下,该模型在处理铸件图像方面优于PM模型和其他基于经典边缘检测的方法。也就是说,它有更好的保存缺陷。
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引用次数: 1
Agent-based control strategies for smart and safe vehicles 基于agent的智能安全车辆控制策略
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563667
Feiyue Wang
Summary form only given. The history of agent research with transportation problems should be richer and better in the future, and should go further from air to surface and vehicles to houses. As a matter of fact, the domain of traffic and transportation management is well suited to an agent-based approach because of it geographically distributed nature and its periodically busy-idle operating characteristics. The future of intelligent transportation systems (ITS) should full of intelligent and autonomous agents that travel among traffic control centers, road intersections, highways, streets, vehicles, houses, offices, malls, via Internet, wireless, and ad hoc networks, collect right information at right times and make smart decisions so that our transportation systems would be eventually "intelligent". Recently, more studies have emerged on applying agent-based approaches for intelligent vehicle problems. For example, agents for implementing a future car pooling, transportation scheduling, distributed control, traffic simulation, and so on. Although those are important problems in transportation, they are not systematically dealing with core issues in ITS yet. The purpose of this paper to introduce the concept of agent-based control (ABC) for networked systems in control theory (Fei-Yue Wang and Cheng-Hong Wang, 2003) to traffic and transportation managements, especially for smart and safe intelligent vehicles that are wireless connected, and to call for more and further research and applications of agent-based approach for ITS.
只提供摘要形式。未来交通问题的智能体研究历史应该更加丰富和完善,应该从空中到地面,从车辆到房屋。事实上,交通运输管理领域由于其地理分布特性和周期性的忙碌-空闲运行特性,非常适合采用基于agent的方法。未来的智能交通系统(ITS)应该充满智能和自主的代理,它们通过互联网、无线和特别网络在交通控制中心、十字路口、高速公路、街道、车辆、房屋、办公室、商场之间穿梭,在正确的时间收集正确的信息并做出明智的决策,从而使我们的交通系统最终实现“智能”。近年来,越来越多的研究将基于智能体的方法应用于智能汽车问题。例如,用于实现未来拼车、运输调度、分布式控制、交通模拟等的代理。虽然这些都是交通运输中的重要问题,但它们还没有系统地解决ITS的核心问题。本文的目的是将控制理论(王飞跃和王成红,2003)中基于智能体的网络系统控制(ABC)的概念引入交通运输管理,特别是无线连接的智能安全智能车辆,并呼吁更多和进一步的研究和应用基于智能体的智能交通管理方法。
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引用次数: 12
A new STB-TCM coded MC-CDMA systems with MMSE-SOVA based decoding and soft-interference cancellation 基于MMSE-SOVA解码和软干扰消除的STB-TCM编码MC-CDMA系统
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563624
Luis Alberto Paredes Hermandez, Mariano García Otero, Dept. Seniales
This paper analyzes several interference cancellation schemes applied to STBC-TCM for MC-CDMA. In these systems, a linear MMSE detector is conventionally used to reduce interference generated by multipath, multiuser, and multiple antennas propagation. To obtain further performance improvements (measured in terms of bit error rates), a more efficient SOVA-based iterative MMSE scheme is considered. This receiver performs soft interference cancellation for every user based on a combination of the MMSE criterion and the turbo processing principle. It is shown that these block space-time concatenated with coding channel detectors can potentially provide significant capacity enhancements over the conventional matched filter receiver.
本文分析了用于MC-CDMA的STBC-TCM干扰消除方案。在这些系统中,线性MMSE检测器通常用于减少多路径、多用户和多天线传播产生的干扰。为了获得进一步的性能改进(以误码率衡量),考虑了一种更有效的基于sova的迭代MMSE方案。该接收机结合MMSE准则和turbo处理原理对每个用户进行软干扰消除。研究表明,与传统的匹配滤波器接收器相比,这些块时空与编码信道检测器相连接可以提供显着的容量增强。
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引用次数: 2
Modeling and simulation study of the steer by wire system using bond graph 基于键合图的导线转向系统建模与仿真研究
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563604
Li Qiang, H. Ren
Steer by wire (SBW) systems have many merits over traditional power steering systems in fuel efficiency, space efficiency, security and comfort by virtue of eliminating the mechanical link between the steering wheel and the front wheel. This paper aims at modeling the mechanical parts, the steering wheel motor, the front wheel motor and electronic control unit (ECU) of the SBW System by bond graph approach and simulating complete system dynamic behavior regarding vehicle maneuverability and stability and driver's steering feel. With the model built by Matlab/Simulink, the simulation results have demonstrated that the SBW system enables the steering wheel motor to generate desirable reactive torque and the front wheel motor to provide an appropriate angle of front wheel for the driver's steering torque and at different vehicle speed. The simulation also shows that it possible to control the vehicle behavior along with steering responsiveness characteristic by changing parameter values of SBW system variables. The work in the paper will help to guide further researches on control algorithm of the SBW system.
线控转向(SBW)系统由于消除了方向盘与前轮之间的机械连接,在燃油效率、空间效率、安全性和舒适性等方面都优于传统的动力转向系统。本文旨在利用键合图法对SBW系统的机械部件、方向盘电机、前轮电机和电控单元(ECU)进行建模,模拟车辆机动稳定性和驾驶员转向感觉等系统的完整动态行为。通过Matlab/Simulink建立模型,仿真结果表明,在不同车速下,SBW系统能够使方向盘电机产生理想的反扭矩,前轮电机能够为驾驶员的转向扭矩提供合适的前轮转角。仿真还表明,通过改变SBW系统变量的参数值,可以实现对车辆行为和转向响应特性的控制。本文的工作将有助于指导SBW系统控制算法的进一步研究。
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引用次数: 12
A multi-scale retinex algorithm for image enhancement 一种多尺度视网膜图像增强算法
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563628
Yuehu Liu, Yuanqi Su, Yunfeng Zhu, Zejian Yuan
Rapidly and robust image enhancement transformation is important for numerous applications in intelligent video surveillance, which can improve the quality of scene image and extract better features in complex environment where the images undergo large lighting changes. In this paper, a multi-scale retinex algorithm is presented for image enhancement, which has two contributions. First, the initial approximation image is computed by both each pixel value and maximum value of original image. Second, discrete wavelet transformation is used to decrease computation complexity. Experimental tests on numerous scene images show that proposed algorithm has better performance for edge detecting from surveillance images and lane images.
快速、鲁棒的图像增强变换对于智能视频监控中的众多应用至关重要,它可以提高场景图像的质量,并在光照变化较大的复杂环境中更好地提取图像特征。本文提出了一种用于图像增强的多尺度retinex算法,该算法有两个贡献。首先,利用每个像素值和原始图像的最大值计算初始逼近图像;其次,采用离散小波变换降低计算复杂度。对大量场景图像的实验测试表明,该算法对监控图像和车道图像的边缘检测具有较好的性能。
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引用次数: 6
An intelligent strategy of vehicle scheduling based on fuzzy-neuron networks 基于模糊神经元网络的智能车辆调度策略
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563653
Lu Fei, Liu Hongguang
A brand new intelligent system of vehicle scheduling is proposed and applied to the logistics companies whose service is transportation with vehicle. The key technology of this system is a compound fuzzy-neuron networks. First, a synthetically satisfied function is conceived. Then it is divided into three sub-functions. Each sub-function is each based on its own fuzzy rules and realized by a compound fuzzy-neuron networks. The final value of each vehicle is the sum of each sub-function multiplying its own right. The selective car which has the highest value is the vehicle to receive the scheduling order.
提出了一种全新的智能车辆调度系统,并应用于以车辆运输为服务的物流公司。该系统的关键技术是复合模糊神经元网络。首先,设想一个综合满足的函数。然后分为三个子功能。每个子函数都基于自己的模糊规则,并由复合模糊神经元网络实现。每个车辆的最终值是每个子函数乘以其自身权利的总和。选取值最高的车辆作为接收调度指令的车辆。
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引用次数: 0
The research on control algorithms of vehicle active suspension system 汽车主动悬架控制算法的研究
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563665
C. Tang, TiaoxiaZhang
An active suspension system for vehicles using NN (neural networks) & GA (genetic algorithm) and LQG (linear quadratic gaussian) controls is proposed in the paper. A four-degree freedom suspension vibration model is described by a nonlinear system, subject to irregular excitations from a road surface. The performance of the nonlinear suspension with the NN & GA controller is compared with the performance with the LQG controller. The simulation results indicate that the proposed active suspension system proves to be effective in the vibration isolation of the suspension system. The control object of an active suspension system is to produce excellent ride comfort and good holding ability.
提出了一种基于NN(神经网络)和GA(遗传算法)以及LQG(线性二次高斯)控制的汽车主动悬架系统。用一个非线性系统来描述受路面不规则激励的四自由度悬架振动模型。比较了采用NN & GA控制器的非线性悬架与采用LQG控制器的非线性悬架的性能。仿真结果表明,该主动悬架系统对悬架系统的隔振是有效的。主动悬架系统的控制目标是产生良好的平顺性和良好的持稳性。
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引用次数: 18
A watch in developments of intelligent tire inspection and monitoring 手表在智能轮胎检测和监控方面的发展
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563668
Li Li, Feiyue Wang, Qunzhi Zhou
The comfort and safety of driving tightly depends on good working condition of the vehicle tires. However, it is not easy for people to estimate tire pressure, temperature and tire/road friction force etc. correctly, especially when driving on road. As a result, numerous novel tire sensors and inspection devices were developed in the last two decades to make driving more safe and comfortable. In addition, these approaches also related to scrap tire pollution and highway noise reduction. This paper presents a brief survey of the recent advances in this field with a special focus on SAW tire sensors.
驾驶的舒适性和安全性在很大程度上取决于车辆轮胎的良好工作状态。然而,人们不容易正确估计轮胎压力、温度和轮胎/道路摩擦力等,特别是在道路上行驶时。因此,在过去的二十年里,许多新型的轮胎传感器和检测设备被开发出来,使驾驶更加安全和舒适。此外,这些方法还涉及到废轮胎污染和公路噪声的降低。本文简要介绍了该领域的最新进展,重点介绍了SAW轮胎传感器。
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引用次数: 9
Matching vehicles using Hilbert scanning distance 使用希尔伯特扫描距离匹配车辆
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563632
Li Tian, S. Kamata, K. Tsuneyoshi
Matching objects is a fundamental problem for any object detection system. Feature-based methods in matching objects such as vehicles often encounter the problem of correspondences between features of two related patterns. The features may be points, lines, curves and regions. Point pattern matching (PPM) is a primary and essential approach for establishing a correspondence within two related patterns. Although some well-known Hausdorff distance measures work well for this task, they are very computational expensive and suffer from the noise of images. In this paper, we propose a novel similarity measure using Hubert curve named Hubert scanning distance (HSD) to resolve the problems. This method computes the distance measure in one-dimensional (1-D) sequence in stead of in two-dimensional (2-D) image space, which greatly reduce the computational complexity. By applying a threshold elimination function, extreme distances caused by noise and position errors (e.g. those that occur with feature or edge extraction) are removed. The experimental results show that HSD can provide sufficient information for matching vehicles within low computational complexity. We believe this point out a new direction for the research of PPM.
目标匹配是任何目标检测系统的基本问题。在车辆等对象的匹配中,基于特征的方法经常会遇到两个相关模式的特征之间的对应问题。特征可以是点、线、曲线和区域。点模式匹配(PPM)是在两个相关模式之间建立对应关系的基本方法。虽然一些著名的豪斯多夫距离测量方法可以很好地完成这项任务,但它们的计算成本非常高,并且受到图像噪声的影响。为了解决这一问题,本文提出了一种基于Hubert曲线的相似度度量方法——Hubert扫描距离(HSD)。该方法在一维(1-D)序列中计算距离度量,而不是在二维(2-D)图像空间中计算,大大降低了计算复杂度。通过应用阈值消除函数,消除了由噪声和位置误差(例如,特征或边缘提取时发生的那些误差)引起的极端距离。实验结果表明,HSD能够在较低的计算复杂度下为车辆匹配提供足够的信息。我们认为这为PPM的研究指明了一个新的方向。
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引用次数: 1
A survey of vision-based automatic incident detection technology 基于视觉的事件自动检测技术综述
Pub Date : 2005-12-27 DOI: 10.1109/ICVES.2005.1563659
Kun Wang, Xingwu Jia, Shuming Tang
Automatic incident detection (AID) has become a necessity for the ever increasing traffic density for most major intersections and highways. Using vision-based AID systems, real-time incident information can be obtained automatically and precisely, and communicated to the Traffic Management Centre (TMC) for other posterior activities such as oncoming driver warning, incident processing and removal. Vision-based AID algorithms generally include three consecutive steps: object detection, vehicle tracking and activity understanding. In this paper, a great variety of vision-based AID methods are introduced and compared in detail. A method is suggested for evaluating performances of AID algorithms. In addition, this paper proposes several key technical difficulties and possible resolutions, which are often met in traffic incident detection process.
自动事件检测(AID)已成为大多数主要交叉路口和高速公路日益增长的交通密度的必需品。使用基于视觉的辅助系统,可以自动准确地获取实时事故信息,并将信息传达给交通管理中心(TMC),以便进行其他后续活动,例如对迎面而来的司机发出警告、处理事故和清除事故。基于视觉的AID算法通常包括三个连续的步骤:目标检测、车辆跟踪和活动理解。本文对各种基于视觉的AID方法进行了详细的介绍和比较。提出了一种评价AID算法性能的方法。此外,本文还提出了交通事件检测过程中经常遇到的几个关键技术难点和可能的解决方案。
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引用次数: 19
期刊
IEEE International Conference on Vehicular Electronics and Safety, 2005.
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