Search Results - "IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications"

Source localization in resource-constrained sensor networks based on deep learning.

Authors: Javadi, S. Hamed Guerrero, Angela Mouazen, Abdul M.

Source: Neural Computing & Applications; May2021, Vol. 33 Issue 9, p4217-4228, 12p

Subject Terms: SENSOR networks, SENSOR placement, ARTIFICIAL neural networks, DEEP learning, SIGNAL processing, WIRELESS localization, MULTISENSOR data fusion

Automatic object detection based on adaptive background subtraction using symmetric alpha stable distribution

Authors: Bhaskar, H Mihaylova, LS Achim, AM

Source: Bhaskar, H, Mihaylova, LS & Achim, AM 2008, Automatic object detection based on adaptive background subtraction using symmetric alpha stable distribution. in IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications, 2008. Institution of Engineering and Technology (IET), pp. 197.

Availability: https://hdl.handle.net/1983/ff9f863e-5caf-4faa-a293-b80af5ac952a
https://research-information.bris.ac.uk/en/publications/ff9f863e-5caf-4faa-a293-b80af5ac952a

3D Object Modeling Using Data Fusion from Laser Sensor on Quadrotor.

Authors: Iswanto Wahyunggoro, Oyas Cahyadi, Adha Imam

Source: AIP Conference Proceedings; 2016, Vol. 1755 Issue 1, p170001-1-170001-7, 7p, 3 Diagrams, 2 Graphs

Subject Terms: MULTISENSOR data fusion, QUADROTOR helicopters, ROBOTIC path planning, ROBOTICS, GRAPH theory

Energy-efficient distributed state estimation via event-triggered consensus on exponential families.

Authors: Battistelli, Giorgio Chisci, Luigi Selvi, Daniela

Source: 2016 American Control Conference (ACC); 2016, p6387-6392, 6p

Event-triggered consensus on exponential families.

Authors: Battistelli, Giorgio Chisci, Luigi Selvi, Daniela

Source: 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF); 2015, p1-6, 6p

Graph-based map matching for indoor positioning.

Authors: Koivisto, Mike Nurminen, Henri Ali-Loytty, Simo et al.

Source: 2015 10th International Conference on Information, Communications & Signal Processing (ICICS); 2015, p1-5, 5p

Chernoff fusion of Gaussian mixtures based on sigma-point approximation.

Authors: Gunay, Melih Orguner, Umut Demirekler, Mubeccel

Source: IEEE Transactions on Aerospace & Electronic Systems; Dec2016, Vol. 52 Issue 6, p2732-2746, 15p

Subject Terms: GAUSSIAN processes, APPROXIMATION theory, DENSITY functional theory, PROBABILITY theory, KALMAN filtering

Exploiting imprecise constraints in particle filtering based target tracking.

Authors: Podt, M. Bootsveld, M. Boers, Y. et al.

Source: 17th International Conference on Information Fusion (FUSION); 2014, p1-8, 8p

An improved cubature particle PHD filter with an adaptive memory factor.

Authors: Li, Pengfei Xie, Weixin Huang, Jingxiong et al.

Source: 2014 12th International Conference on Signal Processing (ICSP); 2014, p1832-1836, 5p

Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning.

Authors: Carmi, Avishy Y. Mihaylova, Lyudmila Gning, Amadou et al.

Source: Advances in Intelligent Signal Processing & Data Mining; 2013, p7-53, 47p

MEMS-based inertial navigation based on a magnetic field map.

Authors: Kok, Manon Wahlstrom, Niklas Schon, Thomas B. et al.

Source: 2013 IEEE International Conference on Acoustics, Speech & Signal Processing; 2013, p6466-6470, 5p

On-road trajectory generation from GPS data: A particle filtering/smoothing application.

Authors: Roth, Michael Gustafsson, Fredrik Orguner, Umut

Source: 2012 15th International Conference on Information Fusion; 1/ 1/2012, p779-786, 8p

A comparison of joint/independent state particle filters for tracking closely spaced targets in clutter.

Authors: Aslan, Murat Samil Sviestins, Egils

Source: 2012 15th International Conference on Information Fusion; 1/ 1/2012, p763-770, 8p

Importance sampling applied to Pincus maximization for particle filter MAP estimation.

Authors: Saha, Saikat Gustafsson, Fredrik

Source: 2012 15th International Conference on Information Fusion; 1/ 1/2012, p114-120, 7p

A new approach to particle based smoothed marginal MAP.

Authors: Saha, S. Mandal, P. K. Bagchi, A.

Source: 2008 16th European Signal Processing Conference; 2008, p1-5, 5p

Affinity Propagation Clustering of Measurements for Multiple Extended Target Tracking.

Authors: Tao Zhang Renbiao Wu

Source: Sensors (14248220); Sep2015, Vol. 15 Issue 9, p22646-22659, 14p

Subject Terms: MULTIPLE target tracking, PARALLEL algorithms, MEASUREMENT, HYPOTHESIS, GAUSSIAN mixture models

State Feedback Control Using Particle Filter.

Authors: NISHIDA, TAKESHI

Source: Electronics & Communications in Japan; Jun2015, Vol. 98 Issue 6, p16-25, 10p

Subject Terms: MONTE Carlo method, KALMAN filtering, GAUSSIAN distribution, ROBUST control, ESTIMATION theory

Investigation into the utility of using CFAR cluster size information in target track association

Authors: E. J. Hughes I. Izzawati

Source: IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications. :5-12

Subject Terms: 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/4567706/

Using ship tracking methods to assist in quality controlling and bias adjusting meteorological observations in a marine environment

Authors: J.G.T. Hill M. Cole S.R. Maskelf

Source: IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications. :167-174

Subject Terms: 13. Climate action, 14. Life underwater

Access URL: https://ieeexplore.ieee.org/document/4567766/

Passive target tracking using transmitters of opportunity

Authors: David John Shephard Gordon Richards

Source: IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications. :149-157

Access URL: https://digital-library.theiet.org/content/conferences/10.1049/ic_20080067