Search Results - "2020 IEEE 23rd International Conference on Information Fusion (FUSION)"

Early vs Late Fusion in Multimodal Convolutional Neural Networks by Gadzicki, Konrad, Khamsehashari, Razieh, Zetzsche, Christoph

“…Combining machine learning in neural networks with multimodal fusion strategies offers an interesting potential for classification tasks but the optimum fusion…”
Get full text

The SPOTIS Rank Reversal Free Method for Multi-Criteria Decision-Making Support by Dezert, Jean, Tchamova, Albena, Han, Deqiang, Tacnet, Jean-Marc

“…In this paper, we propose a new Multi-Criteria Decision-Making method (MCDM) which is rank reversal free. We call it the SPOTIS method standing for Stable…”
Get full text

Bluetooth Low Energy-based Angle of Arrival Estimation via Switch Antenna Array for Indoor Localization by Hajiakhondi-Meybodi, Zohreh, Salimibeni, Mohammad, Plataniotis, Konstantinos N., Mohammadi, Arash

“…With expected widespread implementation of 5G networks and 5G Internet of Things (IoT), indoor localization is expected to become of even further importance…”
Get full text

Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? by Scheiner, Nicolas, Schumann, Ole, Kraus, Florian, Appenrodt, Nils, Dickmann, Jurgen, Sick, Bernhard

“…Radar-based road user detection is an important topic in the context of autonomous driving applications. The resolution of conventional automotive radar…”
Get full text

Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation by Weber, Daniel, Guhmann, Clemens, Seel, Thomas

“…Inertial measurement units are commonly used to estimate the attitude of moving objects. Numerous nonlinear filter approaches have been proposed for solving…”
Get full text

Deep Learning Multi-layer Fusion for an Accurate Iris Presentation Attack Detection by Fang, Meiling, Damer, Naser, Boutros, Fadi, Kirchbuchner, Florian, Kuijper, Arjan

“…Iris presentation attack detection (PAD) algorithms are developed to address the vulnerability of iris recognition systems to presentation attacks. Taking into…”
Get full text

Sensor Management in 2D Lidar-Based Underground Positioning by Nielsen, Kristin, Hendeby, Gustaf

“…Lidar-based positioning in a 2D map is analyzed as a method to provide a robust, high accuracy, and infrastructure-free positioning system required by the…”
Get full text

Unique Animal Identification using Deep Transfer Learning For Data Fusion in Siamese Networks by Van Zyl, T. L, Woolway, M, Engelbrecht, B

“…The unique automated identification of animals of various species is a pressing challenge ecologically, environmentally and economically. A broader question…”
Get full text

Regional Rainfall Prediction Using Support Vector Machine Classification of Large-Scale Precipitation Maps by Hussein, Eslam, Ghaziasgar, Mehrdad, Thron, Christopher

“…Rainfall prediction helps planners anticipate potential social and economic impacts produced by too much or too little rain. This research investigates a…”
Get full text

Risk-based Autonomous Maritime Collision Avoidance Considering Obstacle Intentions by Tengesdal, Trym, Johansen, Tor Arne, Brekke, Edmund

“…A robust and efficient Collision Avoidance (COLAV) system for autonomous ships is dependent on a high degree of situational awareness. This includes inference…”
Get full text

Variational Bayesian Estimation of Time-Varying DOAs by Meyer, Florian, Park, Yongsung, Gerstoft, Peter

“…We present a Bayesian method for sequential direction finding based on variational line spectral estimation (VALSE). The proposed method promotes sparse…”
Get full text

AwezaMed: A Multilingual, Multimodal Speech-To-Speech Translation Application for Maternal Health Care by Marais, Laurette, Louw, Johannes A., Badenhorst, Jaco, Calteaux, Karen, Wilken, Ilana, van Niekerk, Nina, Stein, Glenn

“…The language contexts of multilingual developing countries such as South Africa are often characterised by communication challenges resulting from language…”
Get full text

A Sequential L-norm Filter for Robust Estimation by Yang, Yang

“…A novel robust sequential L_{p} filter is developed in this paper by leveraging the maximum a posteriori estimation theory and using generalised normal…”
Get full text

Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories by Garcia-Fernsndez, Angel F., Svensson, Lennart, Williams, Jason L., Xia, Yuxuan, Granstrom, Karl

“…This paper presents two multi-Bernoulli filters on sets of trajectories for multiple target tracking. The first filter provides a multi-Bernoulli approximation…”
Get full text

Uncertainty based active learning with deep neural networks for inertial gait analysis by Vaith, Alexander, Taetz, Bertram, Bleser, Gabriele

“…Inertial measurement units (IMUs) enable the capture of human motion in-field. This can be used in various analysis applications ranging from the medical…”
Get full text

Detection and Tracking on Automotive Radar Data with Deep Learning by Tilly, Julius F., Haag, Stefan, Schumann, Ole, Weishaupt, Fabio, Duraisamy, Bharanidhar, Dickmann, Jurgen, Fritzsche, Martin

“…Reliable tracking of road users plays a critical part on the way to safe automated driving. In this paper, a machine learning based tracking approach on radar…”
Get full text

Track-Before-Detect Labeled Multi-Bernoulli Smoothing for Multiple Extended Objects by Yu, Boqian, Ye, Egon

“…For the evaluation of autonomous driving systems, this paper provides a new approach of generating reference data for multiple extended object tracking. In our…”
Get full text

Fuzzy MLNs and QSTAGs for Activity Recognition and Modelling with RUSH by Nguyen, Van, Mellor, Liam

“…Event and activity modelling and recognition is at the centre of situational awareness (SA). Being able to detect and extract useful semantic information from…”
Get full text

Reactor Power Level Estimation by Fusing Multi-Modal Sensor Measurements by Rao, Nageswara S. V., Greulich, Christopher, Sen, Satyabrata, Dayman, Kenneth J., Hite, Jason, Ray, Will, Hale, Richard, Nicholson, Andrew D., Johnson, Jared, Hunley, Riley D., Maceira, Monica, Chai, Chengping, Marcillo, Omar, Karnowski, Tom, Wetherington, Randall

“…Estimates of the power level of a nuclear reactor based on measurements from an independent monitoring sensor system can help in the compliance verification of…”
Get full text

Unique Faces Recognition in Videos by Huo, Jiahao, van Zyl, Terence L

“…This paper tackles face recognition in videos employing metric learning methods and similarity ranking models. The paper compares the use of the Siamese…”
Get full text