A Cost-Effective Vehicle Localization Solution Using an Interacting Multiple Model−Unscented Kalman Filters (IMM-UKF) Algorithm and Grey Neural Network [PDF]
In this paper, we propose a cost-effective localization solution for land vehicles, which can simultaneously adapt to the uncertain noise of inertial sensors and bridge Global Positioning System (GPS) outages. First, three Unscented Kalman filters (UKFs)
Qimin Xu, Xu Li, Ching-Yao Chan
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A Novel Robust Interacting Multiple Model Algorithm for Maneuvering Target Tracking [PDF]
In this paper, the state estimation problem for discrete-time jump Markov systems is considered. A minimax filtering technique, interacting multiple model algorithm based on game theory, is developed for discrete-time stochastic systems.
GHAZAL, M., DOUSTMOHAMMADI, A.
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Improved interacting multiple model algorithm airport surface target tracking based on geomagnetic sensors [PDF]
To avoid the inherent defects of current airport surface surveillance systems, a distributed non-cooperative surface surveillance scheme based on geomagnetic sensor technology is proposed in this article.
Xinmin Tang, Wenjie Zhao, Shangfeng Gao
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Intention inference‐based interacting multiple model estimator in photoelectric tracking [PDF]
Aiming to improve the estimation and prediction accuracy of a target's position, this paper proposes a state estimation method for photoelectric tracking systems, based on the evaluation of the tracked target's motion intention. Traditional photoelectric
Minxing Sun +5 more
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Adaptive Variable Structure Interacting Multiple Model Tracking Algorithm for Hypersonic Glide Vehicle [PDF]
During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single-model tracking and the slow response of multi-model ...
Zhumu Fu +3 more
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Improved Interacting Multiple Model Particle Filter Algorithm [PDF]
For the issue of limited filtering accuracy of interactive multiple model particle filter algorithm caused by the resampling particles don't contain the latest observation information, we made improvements on interactive multiple model particle filter ...
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Adaptive IMM-UKF for Airborne Tracking
In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF.
Alvaro Arroyo Cebeira +1 more
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Interacting multiple model monocular SLAM [PDF]
Recent work has demonstrated the benefits of adopting a fully probabilistic SLAM approach in sequential motion and structure estimation from an image sequence. Unlike standard Structure from Motion (SFM) methods, this 'monocular SLAM' approach is able to achieve drift-free estimation with high frame-rate real-time operation, particularly benefitting ...
Javier Civera 0001 +2 more
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Multiple-Fidelity Modeling of Interactional Aerodynamics [PDF]
The interaction of trailing vortices with lifting surfaces is investigated using two levels of modeling fidelity. An overset mesh-based Reynolds-averaged Navier–Stokes solver is considered as the high-fidelity computational model. A lower-fidelity model is developed by combining a vortex panel method with a propeller aerodynamic model and slipstream ...
Asitav Mishra +2 more
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Neuroimmune Interactions in a Model of Multiple Sclerosis [PDF]
Psychological stress has been implicated in both the onset and exacerbation of multiple sclerosis (MS). Our research has focused on the role of stress at the onset of MS, using the mouse model Theiler's murine encephalomyelitis virus‐induced demyelination.
C Jane, Welsh +6 more
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