2018 21st International Conference on Information Fusion (FUSION)

10-13 July 2018

Filter Results

Displaying Results 1 - 25 of 364
  • Index

    Publication Year: 2018, Page(s): 1
    Request permission for reuse | PDF file iconPDF (63 KB)
    Freely Available from IEEE
  • Welcome to FUSION 2018 - Fusion Comes of Age

    Publication Year: 2018, Page(s):1 - 2
    Request permission for reuse | PDF file iconPDF (69 KB)
    Freely Available from IEEE
  • Program

    Publication Year: 2018, Page(s):1 - 49
    Request permission for reuse | PDF file iconPDF (190 KB)
    Freely Available from IEEE
  • Technical Program Committe

    Publication Year: 2018, Page(s):1 - 10
    Request permission for reuse | PDF file iconPDF (78 KB)
    Freely Available from IEEE
  • Committees

    Publication Year: 2018, Page(s):1 - 2
    Request permission for reuse | PDF file iconPDF (56 KB)
    Freely Available from IEEE
  • Author Index

    Publication Year: 2018, Page(s):1 - 35
    Request permission for reuse | PDF file iconPDF (142 KB)
    Freely Available from IEEE
  • Sponsors

    Publication Year: 2018, Page(s): 1
    Request permission for reuse | PDF file iconPDF (84 KB)
    Freely Available from IEEE
  • Other Viewers

    Publication Year: 2018, Page(s):1 - 10
    Request permission for reuse | PDF file iconPDF (79 KB)
    Freely Available from IEEE
  • A Particle Filter Localisation System for Indoor Track Cycling Using an Intrinsic Coordinate Model

    Publication Year: 2018, Page(s):1896 - 1903
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (638 KB) | HTML iconHTML

    In this paper we address the challenging task of tracking a fast-moving bicycle, in the indoor velodrome environment, using inertial sensors and infrequent position measurements. Since the inertial sensors are physically in the intrinsic frame of the bike, we adopt an intrinsic frame dynamic model for the motion, based on curvilinear dynamical models for manoeuvring objects. We show that the combi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Single-Point Bistatic Track Initialization Using Doppler in 3D

    Publication Year: 2018, Page(s):16 - 23
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (182 KB) | HTML iconHTML

    The first two moments of a converted bistatic range (delay)-direction-cosine-range-rate measurement are derived taking into account the Doppler information and maximum bounds on the target velocity in orthogonal unobservable directions. Cubature integration is used to very efficiently evaluate the necessary multivariate integrals allowing correlations between measurement components to be easily ta... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Autonomous Multi-Phenomenology Space Domain Sensor Tasking and Adaptive Estimation

    Publication Year: 2018, Page(s):1331 - 1338
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (332 KB) | HTML iconHTML

    Space domain awareness using current human-in-the-loop methods is becoming decreasingly viable. This work presents an approach to sensor network management, maneuver detection, and adaptive estimation for tracking many non-maneuvering and multiple maneuvering satellites with a space object surveillance and identification (SOSI) network. The proposed method integrates a suboptimal partially observa... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Model-Based Heterogeneous Optimal Space Constellation Design

    Publication Year: 2018, Page(s):602 - 609
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    Few tools exist for designing constellations of heterogeneous satellites. A new modular tool for total mission design of heterogeneous constellations, including spacecraft design, orbit selection, and launch manifestation, is proposed. The component modules and algorithms are discussed, including a novel crossover method for genetic algorithms and a novel constraint formulation for launch manifest... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Energy-Efficient Decision Fusion for Distributed Detection in Wireless Sensor Networks

    Publication Year: 2018, Page(s):1541 - 1547
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (140 KB) | HTML iconHTML

    This paper proposes an energy-efficient counting rule for distributed detection by ordering sensor transmissions in wireless sensor networks. In the counting rule-based detection in an N-sensor network, the local sensors transmit binary decisions to the fusion center, where the number of all N local-sensor detections are counted and compared to a threshold. In the ordering scheme, sensors transmit... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Directional Statistics with the Spherical Normal Distribution

    Publication Year: 2018, Page(s):704 - 711
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (568 KB) | HTML iconHTML

    A well-known problem in directional statistics - the study of data distributed on the unit sphere - is that current models disregard the curvature of the underlying sample space. This ensures computationally efficiency, but can influence results. To investigate this, we develop efficient inference techniques for data distributed by the curvature-aware spherical normal distribution. We derive close... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Magnitude Design of FIR Evidence Filters with Prescribed Transition Rolloff Using Bisection and ICMEE

    Publication Year: 2018, Page(s):651 - 656
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (148 KB) | HTML iconHTML

    Evidence filters have found a wide range of applications in military surveillance, environment monitoring, homeland security, etc. Designing evidence filters is challenging because of the nonnegative constraint on its impulse response. A new algorithm is proposed in this paper for the magnitude design of evidence filters with prescribed transition rolloff. It uses a bisection method to convert the... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • New Theory and Numerical Results for Gromov's Method for Stochastic Particle Flow Filters

    Publication Year: 2018, Page(s):108 - 115
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (984 KB) | HTML iconHTML

    We derive a new exact stochastic particle flow for Bayes' rule using a theorem of Gromov. We also show numerical experiments for high dimensional problems up to$\mathbf{d}=100$. The accuracy of our new filter is many orders of magnitude better than standard particle filters, and our filter beats the EKF by orders of magnitude for difficult nonlinear problems. The new theoretical result ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • GMPHD Based Multi-Scan Clutter Sparsity Estimation

    Publication Year: 2018, Page(s):1453 - 1458
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    In order to solve the problem of multi-target tracking in clutter with unknown density, a Gaussian mixture probability hypothesis density (GMPHD) based multi-scan clutter sparsity estimation (MCSE) algorithm is proposed. First, the GMPHD filter is used to estimate the cardinality and state of the target with the clutter density in last step. Then all Measurements originated from the targets are el... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Inertial Sensor Array Processing with Motion Models

    Publication Year: 2018, Page(s):788 - 793
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (149 KB) | HTML iconHTML

    By arranging a large number of inertial sensors in an array and fusing their measurements, it is possible to create inertial sensor assemblies with a high performance-to-price ratio. Recently, a maximum likelihood estimator for fusing inertial array measurements collected at a given sampling instance was developed. In this paper, the maximum likelihood estimator is extended by introducing a motion... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Efficient Pseudolinear Estimation for Bearings and Frequencies Target Motion Analysis

    Publication Year: 2018, Page(s):2556 - 2563
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (330 KB) | HTML iconHTML

    In this paper, we present a pseudolinear estimate for bearings and frequencies target motion analysis. We propose two ways to reduce its inherent bias and evaluate its performance with Monte Carlo simulations, with reference to the Cramér-Ran lower bound. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Beyond Sentiments and Opinions: Exploring Social Media with Appraisal Categories

    Publication Year: 2018, Page(s):1851 - 1858
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1385 KB) | HTML iconHTML

    The digital era arrives with a whole set of disruptive technologies that creates both risk and opportunity for open sources analysis. Although the sheer quantity of online conversations makes social media a huge source of information, their analysis is still a challenging task and many of traditional methods and research methodologies for data mining are not fit for purpose. Social data mining rev... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Invariant Kalman Filtering for Visual Inertial SLAM

    Publication Year: 2018, Page(s):2021 - 2028
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (214 KB) | HTML iconHTML

    Combining visual information with inertial measurements is a popular approach to achieve robust and autonomous navigation in robotics, specifically in GPS-denied environments. In this paper, building upon both the recent theory of Unscented Kalman Filtering on Lie Groups (UKF-LG) and more generally the theory of invariant Kalman filtering (IEKF), an innovative UKF is derived for the monocular visu... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Conditions for MHT to be an Exact Bayesian Solution to the Multiple Target Tracking Problem

    Publication Year: 2018, Page(s):982 - 988
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (242 KB) | HTML iconHTML

    This paper finds conditions under which Multiple Hypothesis Tracking (MHT) is an exact Bayesian solution to the multiple-target tracking problem. The crucial condition is that measurements arrive in scans, but otherwise the conditions are minimally restrictive. In order to produce a computationally feasible implementation of MHT, some approximations must be made, but this true is for any (existing... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • MCMC Smoothing for Generalized Random Tour Particle Filters

    Publication Year: 2018, Page(s):142 - 150
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (600 KB) | HTML iconHTML

    Particle filters are powerful and general tools for performing nonlinear, non-Gaussian filtering. They provide an estimate of the distribution on target state at the time of the last measurement. However, it is often desirable to compute the posterior distribution on the target's path over an interval of time given all the measurements received in that interval, i.e., a smoothed estimate of the ta... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Security Issues for Distributed Fusion in Coalition Environments

    Publication Year: 2018, Page(s):830 - 837
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (305 KB) | HTML iconHTML

    When sensor fusion operations are conducted in coalition environments, security of the data and infrastructure used for model fusion are very important. AI enabled sensor fusion infrastructure can be attacked on many fronts, including attacks on the data used for sensor information fusion and disrupting the communication between devices and the fusion nodes, in addition to the traditional security... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Doc2Img: A New Approach to Vectorization of Documents

    Publication Year: 2018, Page(s):2172 - 2178
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (392 KB) | HTML iconHTML

    Vector space representations of text have increased in popularity and are used in various text classification problems. We present Doc2Img, a new approach to create document vectors that improves upon existing approaches such as Word2Vec and Doc2Vec in capturing similarities between words within a document and the differences across documents. We apply this new vector space representation to the p... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.