In this paper, we propose a target tracking algorithm based on Bayesian estimation, the key steps involved in the algorithm include target detection based on a ...
In this paper, we propose a target tracking algorithm based on Bayesian estimation, the key steps involved in the algorithm include target detection based on a ...
In this paper, we propose a target tracking algorithm based on Bayesian estimation, the key steps involved in the algorithm include target detection based on a ...
Improving the Accuracy of Object Tracking in Three Dimensional WSNs. Using Bayesian Estimation Methods. Junzhao Du. 1,2. , Lei Mao. 1. , Hui Liu. 1. , and Bo Wu.
Improving the Accuracy of Object Tracking in Three Dimensional WSNs Using Bayesian Estimation Methods · Junzhao Du · Lei Mao · Hui Liu · Bo Wu · Deke Guo.
Feb 11, 2020 · In this paper, an enhanced least-square algorithm based on improved Bayesian was developed for moving target localization and tracking in WSNs.
Jun 30, 2024 · This paper proposes a motorised target tracking method with a convolutional bi-directional long and short-term memory neural network and extended Kalman ...
Extended Kalman Filter (EKF) is the most widely used method for object tracking and Kalman filter for estimating the state of the object. Tracking is difficult ...
This work addresses the target tracking problem based on received signal strength (RSS) and angle of arrival (AoA) measurements. The Bayesian methodology ...
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This article uses learning-based localization methods to introduce a resilient and intelligent acoustic source tracking approach in the spherical harmonics (SHs) ...