2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)最新文献_第2页

Bayesian fusion: Modeling and application 贝叶斯融合:建模与应用

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698254

J. Sander, J. Beyerer

引用次数: 14

Sensor resource management with cooperative sensors for preventive vehicle safety applications 传感器资源管理与协同传感器预防性车辆安全应用

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698261

Horst Kloeden, Nesrine Damak, R. Rasshofer, E. Biebl

{"title":"Sensor resource management with cooperative sensors for preventive vehicle safety applications","authors":"Horst Kloeden, Nesrine Damak, R. Rasshofer, E. Biebl","doi":"10.1109/SDF.2013.6698261","DOIUrl":"https://doi.org/10.1109/SDF.2013.6698261","url":null,"abstract":"Preventive vehicle safety applications require a reliable detection, classification, and localization of objects in the vehicle's surroundings. This is typically achieved by combining object detections of multiple local perception sensors, such as camera, radar, or lidar. However, to enable the detection of occluded objects as well as to improve the reliability of object classification, the principle of cooperative sensors has been recently proposed. The sensor principle uses a communication signal for object classification and localization. Therefore, in contrast to typical perception sensors, a fusion system including a cooperative sensor system requires a strategy to schedule the measurements of different objetcs considering a limited communication capacity. In this paper, we propose an information based approach for sensor resource management suited for cooperative sensor systems in vehicular applications. We will apply the strategy to a pedestrian perception system and analyze the behavior in different critical traffic situations in comparison to other possible approaches. Finally, we will use real world measurement data gathered with a prototype sensor at 5.9 GHz to justify the theoretical results.","PeriodicalId":228075,"journal":{"name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"54 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":"115277233","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: 4

Multi hypothesis parameter tracking in relative time of arrival 多假设参数的相对到达时间跟踪

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698252

C. Degen, F. Govaers, W. Koch

{"title":"Multi hypothesis parameter tracking in relative time of arrival","authors":"C. Degen, F. Govaers, W. Koch","doi":"10.1109/SDF.2013.6698252","DOIUrl":"https://doi.org/10.1109/SDF.2013.6698252","url":null,"abstract":"The passive non-cooperative localization and tracking of mobile terminals in urban scenarios, called blind mobile localization (BML), is a highly demanding task which occurs for instance in safety, emergency and security applications. In BML the measurement set consists out of several multipaths which are usually parametrized by their direction of arrival (DoA) and their relative time of arrival (RToA). Clutter multipaths can occur due to obstacles like pedestrians, cars, etc. near the receiver side. If a clutter multipath is received before the first measurement of a target, i.e., if it possesses a negative RToA compared to the target related measurements, the computation of the particular likelihood function is deteriorated and thus the accuracy of any BML fusion algorithm decreases. In this paper a pre-processing of the measurement set by an application of a multi-hypothesis tracking (MOT) in the parameter space is proposed. Therefore, two extensions of the MOT-approach processing additional global clutter hypothesis are derived. Finally, a ray-tracing simulation is used to numerically assess the proposed methods for different clutter levels in terms of the optimal subpattern assignment (OSPA) metric.","PeriodicalId":228075,"journal":{"name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"175 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":"131183203","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: 0

Evaluation of a TDoA based acoustic localization system 基于TDoA的声定位系统评价

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698255

Christian Steffes, Lisa Meyer

引用次数: 3

An exact solution to track-to-track fusion using accumulated state densities 利用累积态密度的轨道到轨道聚变的精确解决方案

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698253

W. Koch, F. Govaers, A. Charlish

引用次数: 9

Gaussian mixture tracking: MHT and ITS comparison 高斯混合跟踪:MHT与ITS的比较

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698257

T. Song, D. Musicki, Hyoung-Won Kim, F. Govaers

引用次数: 2

A particle filter for Wi-Fi azimuth and position tracking with pedestrian dead reckoning 基于行人航位推算的Wi-Fi方位和位置跟踪粒子滤波器

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698251

J. Seitz, Thorsten Vaupel, J. Thielecke

{"title":"A particle filter for Wi-Fi azimuth and position tracking with pedestrian dead reckoning","authors":"J. Seitz, Thorsten Vaupel, J. Thielecke","doi":"10.1109/SDF.2013.6698251","DOIUrl":"https://doi.org/10.1109/SDF.2013.6698251","url":null,"abstract":"A tracking algorithm for estimating the azimuth angle regarding north and a two-dimensional position of a mobile unit carried by a pedestrian is presented. Using Wi-Fi signal strength measurements the position of a mobile receiver can be estimated using so called fingerprinting methods. If the signal strengths measurements are collected with directional antennas additionally the azimuth can be estimated. For sensor data fusion of Wi-Fi signal strength measurements, acceleration measurements and angular rate measurements a particle filter is presented. The well known Wi-Fi fingerprinting approach is used to calculate the particle weights and pedestrian dead reckoning to sample the particles. Measurements have been collected inside and outside of an office building to evaluate the performance. Including step detection based on acceleration measurements reduces mainly the positioning error, including angular rate measurements reduces mainly the azimuth estimation error. Electronic compasses, which are susceptible to faults, are not needed to estimate the azimuth indoors. Especially in indoor environments this approach facilitates the use of electronic guides that offer additional information by means of augmented reality, e.g. on museum exhibits in visual range.","PeriodicalId":228075,"journal":{"name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"263 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":"116575842","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: 4

Using a hybrid data generator for testing of ABF-algorithms 使用混合数据发生器对abf算法进行测试

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698248

D. Nagel, Stephen Smith

{"title":"Using a hybrid data generator for testing of ABF-algorithms","authors":"D. Nagel, Stephen Smith","doi":"10.1109/SDF.2013.6698248","DOIUrl":"https://doi.org/10.1109/SDF.2013.6698248","url":null,"abstract":"Testing of Algorithms for Adaptive Beamforming (ABF) is always a critical issue. With flight trials data, the conditions and parameters for targets, jammers and clutter are often not well known. In contrast, with simulated data, all parameters and conditions are well defined. However, the value of simulated data in this field is often poor due to the absence of real-world effects such as non-linearities. Especially for evaluation of algorithms for airborne radars, the use of flight trials data with various scenarios is essential. The disadvantage of using flight trials data is that, in most cases, the performance improvement when applying the algorithms is not unambiguously evident. For these reasons, a hybrid data generator has been developed which can combine measured data from flight trials with simulated data from complicated target or jammer manoeuvers. The measured data includes clutter and noise signals as well as targets of opportunity and can also contain different types of jammer signals. The synthetic target generator (STG) is able to simulate targets as well as CW and broadband noise jammers. The advantage of the hybrid data generator is that the Signal-to-Noise and Jammer-to-Noise ratios of synthetic targets and jammers can be exactly adapted to the measured data. The quality criterion of ABF algorithms for noise jammers is the so called burn-through range [2]. For CW jammers it is easy to evaluate the jamming signal reduction after applying the ABF algorithms. This paper is not concerned with the different ABF algorithms, it only illustrates the method of evaluating the numerous algorithms. Further, the influence of non-linear effects are theoretically described in [3].","PeriodicalId":228075,"journal":{"name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"21 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":"129789565","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

The effect of recovery algorithms on compressive sensing background subtraction 恢复算法对压缩感知背景减法的影响

2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) Pub Date : 2013-10-01 DOI: 10.1109/SDF.2013.6698258

Rhian Davies, L. Mihaylova, N. Pavlidis, I. Eckley

引用次数: 11

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 : 1900-01-01 DOI: 10.1109/SDF.2013.6698265

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

引用次数: 2