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Tracking of Multiple Target Types with a Single Neural Extended Kalman Filter

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.20406openalex-snapshot
Tracking of Multiple Target Types with a Single Neural Extended Kalman Filter
inferredcites →https://doi.org/10.1016/0893-6080(89)90020-8openalex-snapshot
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1109/7.599328openalex-snapshot
A New Model And Efficient Tracker For A Target With Curvilinear Motion
inferredcites →https://doi.org/10.1109/70.760343openalex-snapshot
Development and experimental validation of an adaptive extended Kalman filter for the localization of mobile robots
inferredcites →https://doi.org/10.1109/cdc.1995.480611openalex-snapshot
An adaptive extended Kalman filter using artificial neural networks
inferredcites →https://doi.org/10.1109/cdc.1998.760773openalex-snapshot
Maneuvering target tracking with an adaptive Kalman filter
inferredcites →https://doi.org/10.1109/oceans.2003.178229openalex-snapshot
A neural extended Kalman filter multiple model tracker
inferredcites →https://doi.org/10.1109/tac.1971.1099833openalex-snapshot
A tutorial introduction to estimation and filtering
inferredcites →https://doi.org/10.1109/tac.1974.1100543openalex-snapshot
Estimation of a dispersion parameter in discrete Kalman filtering
inferredcites →https://doi.org/10.1109/taes.2003.1238762openalex-snapshot
Tracking evasive move-stop-move targets with a GMTI radar using a VS-IMM estimator
inferredcites →https://doi.org/10.1109/tassp.1983.1164181openalex-snapshot
Speech parameter estimation by time-weighted-error Kalman filtering
inferredcites →https://doi.org/10.1117/12.341367openalex-snapshot
Revisions to the JDL data fusion model
inferredcites →https://doi.org/10.1117/12.391989openalex-snapshot
Improved state estimation through use of roads in ground tracking
inferredcites →https://doi.org/10.1117/12.503879openalex-snapshot
NEKF IMM tracking algorithm
inferredcites →https://doi.org/10.21236/ada389851openalex-snapshot
Revisions to the JDL Data Fusion Model
inferredcites →https://doi.org/10.2316/journal.201.2007.3.201-1751openalex-snapshot
PREDICTIVE GUIDANCE INTERCEPT USING THE NEURAL EXTENDED KALMAN FILTER TRACKER
inferredcites →https://doi.org/10.5555/70405.70408openalex-snapshot
Multilayer feedforward networks are universal approximators

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/asjc.457openalex-snapshot
Using Delta Range for Fault Detection/Exclusion on GPS Positioning
inferred← citeshttps://doi.org/10.1002/int.22565openalex-snapshot
Enhancing the association in multi‐object tracking via neighbor graph
inferred← citeshttps://doi.org/10.1007/978-3-319-08422-0_8openalex-snapshot
Estimation for Target Tracking Using a Control Theoretic Approach – Part 2
inferred← citeshttps://doi.org/10.1007/s00170-012-4321-yopenalex-snapshot
New hybrid vision-based control approach for automated guided vehicles
inferred← citeshttps://doi.org/10.1016/j.robot.2015.08.008openalex-snapshot
Wireless hybrid visual servoing of omnidirectional wheeled mobile robots
inferred← citeshttps://doi.org/10.1109/cimsa.2008.4595832openalex-snapshot
Analysis of the effects of bearings-only sensors on the performance of the neural extended kalman filter tracking system
inferred← citeshttps://doi.org/10.1109/icns54818.2022.9771520openalex-snapshot
A Review of Kalman Filter with Artificial Intelligence Techniques
inferred← citeshttps://doi.org/10.18535/ijecs/v4i11.36openalex-snapshot
Hybrid visual servoing for tracking multiple targets with a swarm of mobile robots
inferred← citeshttps://doi.org/10.2298/bg20120928vukovicopenalex-snapshot
Machine learning of inteligent mobile robot based on arti ficial neural networks
inferred← citeshttps://doi.org/10.36001/phme.2014.v2i1.1519openalex-snapshot
Robust Passive Fault Tolerant Control Applied to Jet Engine Equipment
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