2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)最新文献

On weak distance between distributions in application to tracking 分布间弱距离在跟踪中的应用

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698260

A. Pak, Marco F. Huber, Andrey Belkin

引用次数: 2

Multi-sensor multi-target tracking with robust kinematic data based credal classification 基于凭证分类的鲁棒运动数据多传感器多目标跟踪

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698250

S. Hachour, F. Delmotte, D. Mercier, E. Lefevre

{"title":"Multi-sensor multi-target tracking with robust kinematic data based credal classification","authors":"S. Hachour, F. Delmotte, D. Mercier, E. Lefevre","doi":"10.1109/SDF.2013.6698250","DOIUrl":"https://doi.org/10.1109/SDF.2013.6698250","url":null,"abstract":"Multi-target tracking using multiple sensors is an important research field in application areas of mobile systems and military applications. This paper proposes a decentralized multi-sensor, multi-target tracking and belief (credal) based classification approach, applied to maritime targets. A given number of sensors, considered as unreliable, are designed to locally predict and update targets states using Interacting Multiple Model (IMM) algorithms (one IMM for one target). Targets IMMs are updated by sequentially acquired measurements. The measurements are assigned to the targets by the means of a generalized Global Nearest Neighbor (GNN) algorithm. The generalized GNN algorithm is able to provide information on the newly detected or non-detected targets and these information is used by score functions which manage the targets appearances and disappearances. In addition to the tracking task of multiple targets, each sensor performs a local classification of each one of the targets. The unreliability of the sensors makes the local classifications weak. In this article, a global classification method is shown to improve the sensors classification performances.","PeriodicalId":228075,"journal":{"name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123960809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

State dependent mode transition probabilities 状态依赖模式转换概率

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698262

Martin Michaelis, F. Govaers, W. Koch

引用次数: 3

Divergence detectors for the δ-generalized labeled multi-Bernoulli filter δ-广义标记多重伯努利滤波器的发散检测器

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698263

Stephan Reuter, B. Vo, Benjamin Wilking, D. Meissner, K. Dietmayer

引用次数: 9

Semantic fusion of live Web content: System design and implementation experiences 实时Web内容的语义融合:系统设计和实现经验

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698256

Vincent Lenders

{"title":"Semantic fusion of live Web content: System design and implementation experiences","authors":"Vincent Lenders","doi":"10.1109/SDF.2013.6698256","DOIUrl":"https://doi.org/10.1109/SDF.2013.6698256","url":null,"abstract":"Conventional Web search models are ineffective at providing quick and comprehensive answers to questions related to live content such as real-time data or temporal relationships between actors. Semantic data fusion techniques have the potential to provide a more suitable abstraction model for efficient search on this type of data. However, myriad architectural and technical implementation challenges arise when trying to implement a working system. This paper summarizes our efforts and experiences at implementing a functional semantic fusion system for live content from the Web. Besides semantic data fusion techniques, we make extensive use of natural language processing, semantic Web technologies and Bayesian statistics to render the system a self-contained framework acting directly between Web resources of interest and end-user search applications. We first present the semantic fusion architecture design that we have developed. We have implemented this architecture and tested its effectiveness using real-world live data from the Web over multiple weeks. We then report about our major experiences and lessons-learned of this experiment.","PeriodicalId":228075,"journal":{"name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"30 26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121541366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Fusing odometry and sparse UWB radar measurements for indoor slam 融合里程计和稀疏超宽带雷达测量室内撞击

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698259

T. Deißler, J. Thielecke

引用次数: 3

Birth and death in multitarget tracking filters 多目标跟踪滤波器中的出生和死亡

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698249

R. Streit

引用次数: 5

Device-free indoor localization using a distributed network of autonomous UWB sensor nodes 使用自主超宽带传感器节点的分布式网络进行无设备室内定位

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698264

Snezhana Jovanoska, R. Zetik, R. Thomä, F. Govaers, K. Wild, W. Koch

{"title":"Device-free indoor localization using a distributed network of autonomous UWB sensor nodes","authors":"Snezhana Jovanoska, R. Zetik, R. Thomä, F. Govaers, K. Wild, W. Koch","doi":"10.1109/SDF.2013.6698264","DOIUrl":"https://doi.org/10.1109/SDF.2013.6698264","url":null,"abstract":"In this paper we describe a method for localization of multiple persons using a distributed network of autonomous ultra-wideband sensor nodes. The persons do not carry any devices or tags to aid their detection, but are instead detected by using the time variations they impose on the measured channel impulse response between a transmitter and a receiver. The described method uses background subtraction and constant false alarm rate algorithms for person detection. Range tracking is incorporated for removal of clutter and false observations. The range information of the persons with respect to each sensor is fused using a maximum likelihood function. Here, we analyze the influences of range tracking on location estimation. In addition, two location estimation approaches are compared. The first approach fuses the available range information of the persons with respect to all sensors of the network. In the second approach locations are estimated by each sensor node and are later fused with the location estimates from the other sensors. The system implementation and selected methods for device-free person range estimation and sensor data fusion are verified in a realistic measurement scenario with two moving persons and through-wall operation of all sensors. The method can be used for near real-time localization and tracking of multiple moving persons.","PeriodicalId":228075,"journal":{"name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123641532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Target existence probability in the distributed Kalman filter 分布式卡尔曼滤波中目标的存在概率

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698266

Daniel Svensson, F. Govaers, M. Ulmke, W. Koch

引用次数: 1

Cascaded output selection for processing of capacitive electrocardiograms by means of independent component analysis 用独立分量分析方法进行电容性心电图处理的级联输出选择

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698267

D. Wedekind, H. Malberg, S. Zaunseder

{"title":"Cascaded output selection for processing of capacitive electrocardiograms by means of independent component analysis","authors":"D. Wedekind, H. Malberg, S. Zaunseder","doi":"10.1109/SDF.2013.6698267","DOIUrl":"https://doi.org/10.1109/SDF.2013.6698267","url":null,"abstract":"Innovative measurement systems allow for the contactless recording of vital signs. Thus, applications with medical background for daily life become possible. Aquired signals, however, often cannot compete with their clinically established counterparts. In fact, typical characteristics as small signal amplitudes on the one hand, frequently occuring artefacts and noise on the other hand, introduce the apparent need for sophisticated processing techniques to allow for a reliable function when thinking of contactless measurements. This contribution investigates the possibility of using multichannel capacitive electrocardiogram (cECG) recordings to derive the heart rate for driver monitoring. We propose a processing scheme consisting of a spatio-temporal independent component analysis applied to the cECG together with a newly developed method to select the most appropriate of the output channels by analyzing their frequency characteristics. By an experimental study incorporating 27 healthy subjects we prove the applicability of our method and discuss its advantages compared to existing methods.","PeriodicalId":228075,"journal":{"name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"127 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113970041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7