2010 13th International Conference on Information Fusion最新文献

Bearings-only tracking analysis via information geometry 通过信息几何进行方位跟踪分析

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711965

Xuezhi Wang, Yongqiang Cheng, W. Moran

引用次数: 13

Comparison between GMM and KDE data fusion methods for particle filtering: Application to pedestrian detection from laser and video measurements 粒子滤波中GMM和KDE数据融合方法的比较:应用于激光和视频测量的行人检测

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712051

S. Gidel, C. Blanc, T. Chateau, P. Checchin, L. Trassoudaine

{"title":"Comparison between GMM and KDE data fusion methods for particle filtering: Application to pedestrian detection from laser and video measurements","authors":"S. Gidel, C. Blanc, T. Chateau, P. Checchin, L. Trassoudaine","doi":"10.1109/ICIF.2010.5712051","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5712051","url":null,"abstract":"In urban environment, pedestrian detection is a challenging task in automotive research, which often suffers from the lack of reliability due to the occurrences of spurious detections. In order to answer multitarget multisensor tracking problem and more specifically pedestrian tracking, we propose to use an algorithm based on a stochastic recursive Bayesian framework also called particle filter. We aim to solve the problem of consistent Bayesian Decentralized Data Fusion (BDDF) with particle filter using two different statistics approaches in order to better represent the particle set and maintains an accurate summary of the particles. We propose a comparison between a Kernel Density Estimation (KDE) based on non-parametric estimation and a Gaussian Mixture Model (GMM) based on parametric estimation. This approach allows to cope with non-linear models and multi-modalities induced by occlusions and clutters. These two algorithms differ in the representation of particle set during data fusion. Simulation results as well as the results of the experiments conducted on real data demonstrate the relevance of these approaches.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116920050","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

Bearings-only localisation of targets from low-speed UAVs 对低速无人机的目标进行方位定位

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711963

W. Mohibullah, S. Julier

引用次数: 4

An analysis of the error characteristics of two time of arrival localization techniques 两种到达时间定位技术的误差特性分析

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711996

T. Sathyan, M. Hedley, M. Mallick

引用次数: 33

Particle filter based entropy 基于熵的粒子滤波

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712013

Y. Boers, H. Driessen, A. Bagchi, P. Mandal

引用次数: 44

Revisiting the SS Central America search 再次回顾SS中美洲搜索

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712111

L. Stone

引用次数: 2

SPECSweb tracking on a large, simulated multistatic field of the MSTWG 在MSTWG的大型模拟多静态场上的SPECSweb跟踪

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711947

D. Grimmett

{"title":"SPECSweb tracking on a large, simulated multistatic field of the MSTWG","authors":"D. Grimmett","doi":"10.1109/ICIF.2010.5711947","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711947","url":null,"abstract":"Effective fusion and tracking of multistatic active sonar contacts is challenging, due to high levels of false alarm clutter present on all sonar nodes. Such false alarms often overload the sensor-to-fusion-center communications links and fusion/tracking processes, producing too many false tracks. The Specular-Cued Surveillance Web (SPECSweb) multistatic tracker mitigates these problems by allowing track initiation to occur only when high-strength specular target detections are identified. Using these “specular” cues, and subsequent track state estimates, a selective data retrieval approach is used which significantly reduces the data rate at the input to the fusion/tracking algorithm, and reduces node to fusion-center communication link throughput requirements. This paper provides performance results of this tracking algorithm on a simulated multistatic data set from the Multistatic Tracking Working Group (MSTWG). The data set simulates a large multistatic field, and is characterized by low probability of detection (PD), high false alarm rate (FAR), and high measurement errors. The impacts of these challenging conditions on tracker performance are explained, including the degradation of association gating with large error in bearing measurements.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128220410","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

A dynamic grouping strategy for implementation of the particle filter on a massively parallel computer 在大规模并行计算机上实现粒子滤波的动态分组策略

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712049

S. Nakano, T. Higuchi

{"title":"A dynamic grouping strategy for implementation of the particle filter on a massively parallel computer","authors":"S. Nakano, T. Higuchi","doi":"10.1109/ICIF.2010.5712049","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5712049","url":null,"abstract":"A practical way to implement the particle filter (PF) on a massively parallel computer is discussed. Although the PF is a useful tool for sequential Bayesian estimation, the PF tends to be computationally expensive in applying to high-dimensional problems because a enormous number of particles is required in order to appropriately approximate a PDF. One way to overcome this problem is to use large computing resources of a massively parallel computer. However, in implementing the PF on such a massively parallel computer, it is crucial to reduce the time cost for data transfer between different processing elements (PEs). In addition, in using a parallel computer with a multidimensional torus network topology, it is necessary to avoid data transfers between nodes distant from each other. The present study proposes a strategy in which the PEs in use are divided into small groups and the grouping is changed at each time step. The resampling is carried out within each group in parallel and data transfers between distant nodes never occur. Therefore, the time cost for data transfer would be greatly reduced and the efficiency is remarkably improved in comparison with the normal PF.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128691502","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: 5

Bimodal localization in cellular networks utilizing particle filters 利用粒子滤波的蜂窝网络双峰定位

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711942

Arash Tabibiazar, O. Basir

引用次数: 1

Shooting two birds with two bullets: How to find Minimum Mean OSPA estimates 一箭双雕:如何找到最小平均OSPA估计

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712056

M. Guerriero, L. Svensson, Daniel Svensson, P. Willett

引用次数: 90