2019 22th International Conference on Information Fusion (FUSION)最新文献_第4页

Divers Tracking with Improved Gaussian Mixture Probability Hypothesis Density filter 基于改进高斯混合概率假设密度滤波的潜水员跟踪

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011351

Ben Liu, R. Tharmarasa, Simon Hallé, Rahim Jassemi, M. Florea, T. Kirubarajan

{"title":"Divers Tracking with Improved Gaussian Mixture Probability Hypothesis Density filter","authors":"Ben Liu, R. Tharmarasa, Simon Hallé, Rahim Jassemi, M. Florea, T. Kirubarajan","doi":"10.23919/fusion43075.2019.9011351","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011351","url":null,"abstract":"The group divers tracking problem with a 2D high-resolution active sonar is studied in this paper. Probability Hypothesis Density (PHD) filter is famous for its good ability in multiple targets tracking. Instead of travelling in a constant velocity motion model, the activity of divers may be, however, affected by the factors such as the destination, activities of surrounded divers and the potential intention of themselves. That is, not only are the motion states of divers correlated with each other but also dependent on the external environment. A solution is proposed to deal with the challenges of a time-varying number of targets, potential interactions by taking advantage of the PHD filter and social forced model (SFM). The diver dynamic model (DDM) is created based on the social force concept. By including the DDM model into the framework of PHD filter, the dependencies from closed group targets and external environments are considered in the recursive Bayesian framework and a different likelihood in prediction stage of a filter can also be obtained. Numerical simulation results show that the proposed method here is able to improve the performance of the PHD filter in the presence of interactions.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127394815","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

Cooperative Semi-supervised Regression Algorithm based on Belief Functions Theory 基于信念函数理论的协作半监督回归算法

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011308

Hongshun He, Deqiang Han, Yi Yang

引用次数: 0

Iterative Nonlinear Kalman Filtering via Variational Evidence Lower Bound Maximization 基于变分证据下界最大化的迭代非线性卡尔曼滤波

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011221

Yumei Hu, Q. Pan, Zhen Guo, Zhiyuan Shi, Zhen-tao Hu

引用次数: 1

Partitioned Update Binomial Gaussian Mixture Filter 分割更新二项高斯混合滤波器

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011335

M. Raitoharju, Á. F. García-Fernández, S. Särkkä

引用次数: 0

Assessing Situation Awareness on Fusion-Driven Emergency Management Systems 评估融合驱动型应急管理系统的态势感知能力

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011355

L. C. Botega, Gustavo Marttos Cáceres Pereira, Valdir Amancio Pereira Junior, Allan Oliveira

{"title":"Assessing Situation Awareness on Fusion-Driven Emergency Management Systems","authors":"L. C. Botega, Gustavo Marttos Cáceres Pereira, Valdir Amancio Pereira Junior, Allan Oliveira","doi":"10.23919/fusion43075.2019.9011355","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011355","url":null,"abstract":"Situational Awareness (SAW) is a widespread concept in areas that require critical decision-making and refers to the level of consciousness that an individual or team has about a situation. A poor SAW can induce humans to failures in the decision-making process, leading to losses of lives and property damage. Data fusion processes present opportunities to enrich the knowledge about situations by integrating heterogeneous and synergistic data from different sources and transforming them into more meaningful subsidies for decision-making. However, a problem arises when information is subject to problems concerning its quality, especially when humans are the main sources of data (HUMINT). This work describes the assessment of situation awareness provided by an emergency situation assessment system (ESAS), build based on the principles of a new information fusion model. Experts from the São Paulo State Police (PMESP) evaluated ESAS using SART methodology (Situation Awareness Rating Technique), which showed higher rates of SAW, compared to another system, based on the state-of-the-art high-level fusion model, especially in questions relating to the components of informational supply and situational understanding.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132424952","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

Particle Gaussian Mixture Filters: Application and Performance Evaluation 粒子高斯混合滤波器:应用与性能评价

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011177

D. R. A. Veettil, S. Chakravorty

引用次数: 3

State Evaluation of GIS Equipment Based on Multi-sensor Information Fusion (Poster) 基于多传感器信息融合的GIS设备状态评估(海报)

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011358

Xinlei Qiao, K. Gao, Hua Huang, P. Lu, Li Ma, Lijun Jin

{"title":"State Evaluation of GIS Equipment Based on Multi-sensor Information Fusion (Poster)","authors":"Xinlei Qiao, K. Gao, Hua Huang, P. Lu, Li Ma, Lijun Jin","doi":"10.23919/fusion43075.2019.9011358","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011358","url":null,"abstract":"Due to the uncertainty and fuzziness of gas insulated switchgear (GIS) equipment faults, the accuracy and the anti-interference of GIS equipment state evaluation by using a single sensor is normally low. In order to solve that problem, a new multi-sensor information fusion method based on fuzzy theory and Dempster-Shafer (D-S) evidence theory is proposed in this paper. Temperature rise, partial discharge and internal relative humidity are selected as the basis information for fusion. The fuzzy membership degrees of each basis information are calculated by the designed fuzzy membership functions and the idea of weighted sensor reliability degrees are introduced. Then, the reliability degrees and the membership degrees of each measurement are converted into basic probability assignment functions (mass functions). Finally, the information of multiple measurements in a cycle is fused by D-S evidence theory for the evaluation result. Experimental results show that this method can improve the accuracy and anti-interference ability of the GIS equipment state evaluation, and the performance of this method is better than other similar methods.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128827560","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

Cascaded Bearing Only SLAM with Uniform Semi-Global Asymptotic Stability 具有一致半全局渐近稳定的单级联轴承SLAM

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011184

Elias S. Bjørne, T. Johansen, E. Brekke

引用次数: 2

Application of SVD for Removing Motion Artifacts from the Measurements of a Wireless Electrocardiogram SVD在去除无线心电图测量运动伪影中的应用

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011419

W. Dargie, J. Lilienthal

{"title":"Application of SVD for Removing Motion Artifacts from the Measurements of a Wireless Electrocardiogram","authors":"W. Dargie, J. Lilienthal","doi":"10.23919/fusion43075.2019.9011419","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011419","url":null,"abstract":"Cardiovascular diseases (CVD) claim tens of millions of lives worldwide every year. About one-third of these die before they reach 70. For decades, a considerable effort has been made to supplement clinical treatments with telemedicine. In this respect, wireless electrocardiograms play a vital role, since affordable, unobtrusive, and long-term monitoring can be made with them while patients carry out everyday activities unhindered. Moreover, symptoms which can otherwise be hidden during short-term, clinical check-ups can be detected and exact causes can be assigned to them. Nevertheless, wireless electrocardiograms are highly sensitive to motion. Even though hardware and software solutions have been proposed in the past to remove motion artefacts, the results are still unreliable. In this paper we propose (1) to use inertial sensors to directly measure the motions affecting the electrodes of a wireless electrocardiogram and to correlate these measurements with motion artefacts and (2) to employ a dimensionality reduction technique (singular value decomposition, or, in short, SVD) in order to recover the underlying useful ECG signals. We consider different types of intense movements and confirm that SVD consistently and reliably enables to reconstruct the QRS complex and to some extent the T waves. SVD, however, is unable to recover the P and T waves in some irregular and complex motions.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123361900","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

An Information Theoretic Approach for Assessing the Performance of Vehicle Kinematic Tracking 车辆运动跟踪性能评价的信息论方法

2019 22th International Conference on Information Fusion (FUSION) Pub Date : 2019-07-01 DOI: 10.23919/fusion43075.2019.9011376

Daniel Clarke, Dennis Bruggner

{"title":"An Information Theoretic Approach for Assessing the Performance of Vehicle Kinematic Tracking","authors":"Daniel Clarke, Dennis Bruggner","doi":"10.23919/fusion43075.2019.9011376","DOIUrl":"https://doi.org/10.23919/fusion43075.2019.9011376","url":null,"abstract":"Estimating the position, velocity and orientation of a vehicle is an extremely important aspect of highly assisted and autonomous driving scenarios. As a result of decades of research into this topic, there exist many tracking algorithms, each with different operating principles driven from different statistical frameworks. However, due to the complexity of the applications with which they are applied to, no algorithm has sufficient generality to be applied in all circumstances. While the topic of assessing the performance of algorithms has been investigated in the past, there exists no standardized framework for comparing the performance of different algorithms. In this paper we introduce an information theoretic framework which uses the Kullback Leibler Divergence to consider the relative information gain between different fusion algorithms. This framework is independent of the sensor systems and trajectories and considers only the technical operation of the algorithms. The results presented in this paper illustrate the utility of this approach and provide valuable insight for the development of algorithmic methodologies for real world vehicle dynamics estimation.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126622325","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