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2009 IEEE International Workshop on Robotic and Sensors Environments最新文献

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A high precision sensor system for indoor object positioning and monitoring 一种用于室内物体定位和监测的高精度传感器系统
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355980
Ali Asghar Nazari Shirehjini, S. Shirmohammadi
In this paper, we present a sensor system that uses carpets equipped with RFIDs to measure the position of humans and objects in a room at a very high precision. Such a system can be used in applications such as intelligent media output coordination in multi-display environments or automatic generation of 3D-based user interfaces where precision of 10 cm or better is needed.
在本文中,我们提出了一种传感器系统,该系统使用配备射频识别的地毯,以非常高的精度测量房间内人和物体的位置。这种系统可用于多显示环境中的智能媒体输出协调或自动生成基于3d的用户界面等应用,其中需要10厘米或更高的精度。
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引用次数: 9
A foveated stereo vision system for active depth perception 用于主动深度感知的注视点立体视觉系统
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355982
Emerson J. Olaya, L. Torres-Méndez
In this paper we present the design of a biologically inspired active vision system to estimate the depth of objects in a scene. Our design considers geometric characteristics similar to that of human eyes and uses an algorithm that fovealizes the stereo images at points of interest or previous known objects. The proposed algorithm greatly reduces the computational time. We present preliminary simulated results.
在本文中,我们提出了一个生物启发的主动视觉系统的设计,以估计景物的深度。我们的设计考虑了与人眼相似的几何特征,并使用了一种算法,可以在感兴趣的点或以前已知的物体处实现立体图像的注视。该算法大大减少了计算时间。我们给出了初步的模拟结果。
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引用次数: 1
An approach towards smart fault-tolerant sensors 智能容错传感器的一种方法
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355977
S. Zug, J. Kaiser
Acquisition and processing of sensor data has to cope with measurement uncertainties and complex failure modes. Additionally, multiple sensor types and modalities may be used to improve reliability of environment perception. Our work aims at providing an architecture for fault-tolerant sensors and offering a uniform interface to the application. In the paper, we present our fault-tolerant virtual sensor concept that is based on combining model-based estimation and redundant sensor data. To illustrate and evaluate our concept we simulate a mobile robot in an instrumented environment which integrates several smart position sensors. By using a mathematical model to evaluate sensor data we achieve a more reliable position estimation. The paper presents results of the fusion process and discusses methods for generalization.
传感器数据的采集和处理必须处理测量的不确定性和复杂的失效模式。此外,多种传感器类型和模式可用于提高环境感知的可靠性。我们的工作旨在为容错传感器提供一个体系结构,并为应用程序提供一个统一的接口。本文提出了一种基于模型估计和冗余传感器数据相结合的容错虚拟传感器概念。为了说明和评估我们的概念,我们在仪器环境中模拟了一个集成了多个智能位置传感器的移动机器人。通过使用数学模型对传感器数据进行评估,实现了更可靠的位置估计。本文介绍了融合过程的结果,并讨论了推广的方法。
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引用次数: 18
Sensor modeling and fusion algorithms for NOx measures towards zero emissions vehicles 面向零排放车辆的氮氧化物测量传感器建模和融合算法
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355991
Antonio Giampà, E. Petri, S. Saponara, P. Terreni
Measuring NOx concentration in exhaust gases of vehicles is essential for emissions monitoring and control. Commercial NOx sensors provide a measure influenced both by the temperature and by the presence of other substances to which the device is sensitive. This paper describes a technique to correct the measure obtained from the NOx sensor by exploiting additional compensating sensors. Thanks to accurate sensors models, it is possible to develop an algorithm that provides a precise estimation of NOx concentration using the data collected from all sensors. The algorithm is suitable to be implemented on a low-complexity microcontroller-based system, as it requires only a few memory resources and a limited computational power.
车辆尾气中氮氧化物浓度的测定是监测和控制车辆尾气排放的重要手段。商用NOx传感器提供一种既受温度影响又受设备敏感的其他物质存在影响的测量方法。本文介绍了一种利用附加补偿传感器对NOx传感器测量结果进行校正的技术。有了精确的传感器模型,就有可能开发出一种算法,利用从所有传感器收集的数据来精确估计NOx浓度。该算法只需要少量的内存资源和有限的计算能力,适合在低复杂度的基于微控制器的系统上实现。
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引用次数: 1
Sensor modeling and data fusion for a safety warning system in hydrogen-based vehicles 氢燃料汽车安全预警系统传感器建模与数据融合
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355993
S. Saponara, Alessandro Forconi, P. Terreni
This document describes the process of analysis, modeling and compensation through data fusion algorithms of two hydrogen sensors for automotive applications: one is used to detect small leaks (e.g. in pipes ranging from the tank to the engine compartment), while the other has the task of detecting hydrogen concentrations near the explosivity level. Fast and accurate models of the sensors are developed allowing an accurate analysis of the main issues of a practical implementation of the warning system. Such analysis drives the development of effective data fusion techniques to reduce the measure uncertainty (reducing the risk of false alarms or missed detections). The implementation of such techniques on microcontroller-based embedded systems with limited resources in terms of memory and computational power is also addressed.
本文描述了两种用于汽车应用的氢传感器的分析、建模和通过数据融合算法进行补偿的过程:一个用于检测小泄漏(例如,从油箱到发动机舱的管道),而另一个具有检测接近爆炸水平的氢浓度的任务。传感器的快速和准确的模型被开发,允许对实际实施预警系统的主要问题进行准确的分析。这种分析推动了有效数据融合技术的发展,以减少测量的不确定性(减少误报或漏检的风险)。这些技术在基于微控制器的嵌入式系统上的实现,在内存和计算能力方面的资源有限。
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引用次数: 1
Sensor planning for object pose estimation and identification 用于目标姿态估计和识别的传感器规划
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355995
Jeremy Ma, J. Burdick
This paper proposes a novel approach to sensor planning for simultaneous object identification and 3D pose estimation. We consider the problem of determining the next-best-view for a movable sensor (or an autonomous agent) to identify an unknown object from among a database of known object models. We use an information theoretic approach to define a metric (based on the difference between the current and expected model entropy) that guides the selection of the optimal control action. We present a generalized algorithm that can be used in sensor planning for object identification and pose estimation. Experimental results are also presented to validate the proposed algorithm.
本文提出了一种同时进行目标识别和三维姿态估计的传感器规划方法。我们考虑确定移动传感器(或自主代理)从已知对象模型数据库中识别未知对象的次优视图问题。我们使用信息理论方法来定义一个度量(基于当前和预期模型熵之间的差异),该度量指导选择最优控制动作。我们提出了一种可用于目标识别和姿态估计的传感器规划的广义算法。实验结果验证了该算法的有效性。
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引用次数: 2
Fast and accurate modeling and sensitivity analysis of an acquisition system for very low-g accelerations to be used in spacecraft testing and environmental noise measurements 用于航天器测试和环境噪声测量的极低加速度采集系统的快速准确建模和灵敏度分析
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355987
S. Saponara, L. Ferrari, G. Casarosa, Patrick Hambloch, L. Fanucci, B. Sarti
The paper presents a low-g acceleration acquisition system, realized at the Test Centre Division, Europeans Space and Technology Centre of the European Space Agency. The system has been developed in the frame of an investigation on MEMS based sensors for the detection of very low g accelerations. A possible use of this type of technology is in the field of environmental noise measurement or in specific spacecraft testing where the effects of micro-vibrations induced by the activations of actuators need to be monitored. A Simulink-based approach is proposed for fast, accurate and reconfigurable modeling of the measuring system (sensor plus acquisition chain). The paper shows how such models are essentials to exactly predict the distortion and noise sources, to allow for fast set-up of the experiments, and to manage the signal conditioning process. The validity of the proposed technique is assessed by comparing the predicted results with tests on the real implemented system.
本文介绍了在欧洲航天局欧洲空间与技术中心测试中心分部实现的一种低加速度采集系统。该系统是在研究基于MEMS的传感器用于检测极低加速度的框架下开发的。这类技术的一个可能用途是在环境噪声测量领域或在特定的航天器测试中,在这些领域中,需要监测由激活致动器引起的微振动的影响。提出了一种基于simulink的测量系统(传感器+采集链)快速、准确和可重构建模方法。本文说明了这些模型是如何准确预测失真和噪声源,允许快速建立实验,并管理信号调理过程的关键。通过将预测结果与实际系统的测试结果进行比较,对所提技术的有效性进行了评价。
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引用次数: 1
Error corrections in phase-shift measurement for robot infrared localization in intelligent spaces 智能空间中机器人红外定位相移测量误差修正
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355968
E. M. Gorostiza, F. J. Meca, J. Lázaro, David Salido, Luis Pallarés Puerto, Ana Moral Alcaraz
A method for error correction in a phase-shift measuring system based on an I/Q demodulator for robot positioning applications is proposed. Non ideal effects of the system can make inaccuracy rise unacceptably. These effects are modelled so that the error-correction process reduces the error down to 1-1.5 cm, as shown with real measurements, which is highly satisfactory.
提出了一种基于I/Q解调器的机器人定位相移测量系统误差校正方法。系统的不理想效果会使误差上升到不可接受的程度。对这些影响进行了建模,以便误差校正过程将误差降低到1-1.5 cm,如实际测量结果所示,这是非常令人满意的。
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引用次数: 4
Real-time 3D reconstruction for mobile robot using catadioptric cameras 利用反射式相机对移动机器人进行实时三维重建
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355981
R. Rossi, X. Savatier, J. Ertaud, B. Mazari
This paper presents a 3-second 3D reconstruction algorithm able to process a dense geometric approximation of the surrounding environment. Image acquisition is done by a stereoscopic panoramic system with two color catadioptric cameras mounted on a mobile robot. An algorithm running on a Graphical Processing Unit (GPU) processes the 3D reconstruction in real-time. As the camera system moves, new views of the scene are used to improve the model of the scene thanks to an incremental algorithm. Then, the performance of our approach is evaluated using a synthetic image sequence.
本文提出了一种能够处理周围环境密集几何近似的3秒三维重建算法。图像采集由安装在移动机器人上的带有两个彩色反射相机的立体全景系统完成。在图形处理器(GPU)上运行的算法实时处理三维重建。随着摄像机系统的移动,场景的新视图被用来改进场景的模型,这要归功于增量算法。然后,使用合成图像序列评估我们的方法的性能。
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引用次数: 8
Specific vibration frequency detection based on hetero-core fiber optic sensing scheme for security environment monitoring 基于异芯光纤传感的特定振动频率检测方案在安全环境监测中的应用
Pub Date : 2009-12-18 DOI: 10.1109/ROSE.2009.5355988
Hideki Okazaki, M. Nishiyama, Kazuhiro Watanabe
Fiber optic sensors have a potential to make ideal vibration sensors for smart structures because they can be operated without supplying the power at the sensor itself, have the capability of resistance to corrosion and fatigue, immunity to electrical interference, usage for a long time and safe. Additionally, the fiber optic sensors are practically able to operate the remote sensing due to stable transmission fiber line. Especially, hetero-core optical fiber sensors for environmental monitoring system have several advantages such as high accuracy, repeatability and temperature independency. This paper reports a novel approach to dynamic measurements for vibrations of the window using two types of the hetero-core optical fiber vibration sensors. A first vibration sensor can detect a vibration with high sensitivity due to effectively convert the vibration into change in the curvature of the fiber sensor. A second type of vibration sensor, which is lower sensitivity than the first type sensor, can detect vibrations with a few millimeters in thickness. It is shown that the vibration frequency depends on a fiber length of the two fixed points. A characteristic of spectrum peak shows the relatively wide frequency bands with ranging from 400 to 5000 Hz and from 1000 to 4500 Hz as the fixed points distances in the ranges of 15–45 mm and 10–25 mm for the first and second types of sensors, respectively.
光纤传感器可以在传感器本身不供电的情况下工作,具有抗腐蚀、抗疲劳、抗电干扰、使用时间长、安全等特点,有潜力成为智能结构的理想振动传感器。此外,由于光纤传输线路稳定,光纤传感器实际上能够进行遥感操作。特别是用于环境监测系统的异芯光纤传感器具有精度高、可重复性好、温度无关等优点。本文报道了一种利用两种类型的异芯光纤振动传感器对窗户振动进行动态测量的新方法。第一种振动传感器通过将振动有效地转化为光纤传感器曲率的变化,能够以较高的灵敏度检测振动。第二种类型的振动传感器,其灵敏度低于第一种类型的传感器,可以检测到几毫米厚的振动。结果表明,振动频率取决于两个固定点的光纤长度。光谱峰特性表明,第一类和第二类传感器的固定点距离分别在15 - 45mm和10 - 25mm范围内,具有相对较宽的400 - 5000hz和1000 - 4500hz的频带。
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引用次数: 4
期刊
2009 IEEE International Workshop on Robotic and Sensors Environments
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