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A Genetic Optimization Resampling Based Particle Filtering Algorithm for Indoor Target Tracking

Ning Zhou, Lawrence Lau, Ruibin Bai, Terry Moore
2021 Remote Sensing  
The proposed resampling method is then integrated into the particle filtering framework to form a genetic optimization resampling based particle filtering (GORPF) algorithm.  ...  In indoor target tracking based on wireless sensor networks, the particle filtering algorithm has been widely used because of its outstanding performance in coping with highly non-linear problems.  ...  A Genetic Optimization Resampling Based Particle Filtering Algorithm for Indoor Target Tracking.  ... 
doi:10.3390/rs13010132 fatcat:xlk6qhcjwbhe7h5exwbiv6r7tq

Moving Target Tracking Algorithm Based on Improved Resampling Particle Filter in UWB Environment

Zhihao Li, Junkang Wu, Zhenwu Kuang, Zuqiong Zhang, Shenglan Zhang, Luxi Dong, Lieping Zhang, Pietro Manzoni
2022 Wireless Communications and Mobile Computing  
In this paper, a moving target tracking (MTT) algorithm based on the improved resampling particle filter (IRPF) was put forward for the reduced accuracy of particle filter (PF) due to the lack of particle  ...  After that, a threshold was set for the particle diversity after resampling.  ...  In the literature [25] , a genetic optimization-based resampling method is proposed, and the effectiveness of such an optimized resampling method is proved by the results of indoor target tracking experiments  ... 
doi:10.1155/2022/9974049 fatcat:oaeffmbpevdftlvkrpvxmwe2tm

STEPS: An Indoor Navigation Framework for Mobile Devices

Yael Landau, Boaz Ben-Moshe
2020 Sensors  
This paper presents a vision-based navigation system designed for indoor localization.  ...  The suggested framework works as a standalone 3 D positioning system by fusing a sophisticated optical-flow pedometry with map constrains using an advanced particle filter.  ...  A genetic algorithm is a common method for optimization and search problems inspired by Darwin's theory of evolution by natural selection [34] .  ... 
doi:10.3390/s20143929 pmid:32679698 fatcat:3w7deyv5pfeu7piozbfs7bn35y

UWB Indoor Localization Algorithm Using Firefly of Multistage Optimization on Particle Filter

Xiaoguo Zhang, Yujin Kuang, Haoran Yang, Hang Lu, Yuan Yang, Aijun Yin
2021 Journal of Sensors  
and particle algorithm for multistage optimization.  ...  In practice, an indoor positioning process often involves multipath and Non-Line-Of-Sight (NLOS) problems, and a particle filtering (PF) algorithm has been widely used in the indoor positioning research  ...  Han et al. proposed an improved particle filter algorithm based on pigeon-inspired optimization (PIO).  ... 
doi:10.1155/2021/1383767 fatcat:ekus7jb6yzcqzjqzvyzfewh4me

Research on SLAM Road Sign Observation Based on Particle Filter

Yifan Wang, Xiaoyan Wang, Yaxiang Fan
2022 Computational Intelligence and Neuroscience  
, a Monocular SLAM_WOCPF (Monocular vision SLAM based on weight optimization combined particle filter) algorithm is proposed.  ...  Aiming at overcoming the defect that the traditional SLAM (simultaneous localization and map building) algorithm based on EKF (extended Kalman filter) has a slow repair speed for environmental interference  ...  In order to reduce the loss of low-weight particles in each filtering, this section introduces a new algorithm, Monocular SLAM_WOCPF (Monocular vision SLAM based on weight optimization combined particle  ... 
doi:10.1155/2022/4478978 fatcat:syvyvvlgmnbo3a4chwzpopvflq

Design and Realization of Precise Indoor Localization Mechanism for Wi-Fi Devices

2016 KSII Transactions on Internet and Information Systems  
We propose an enhanced Received Signal Strength Indicator (RSSI) based positioning algorithm for Wi-Fi capable devices, called the Dynamic Weighted Evolution for Location Tracking (DWELT).  ...  Instead, DWELT uses data processing of raw RSSI values and applies a weighted posterior-probabilistic evolution for quick convergence of localization and tracking.  ...  [19] develop a real-time RFID indoor positioning based on Kalman-filter to mitigate the drift of RSSI values.  ... 
doi:10.3837/tiis.2016.12.016 fatcat:ea44yirgvbazffqc5bdiwew6zu

Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation

F. Pernkopf
2008 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
We discuss 15 the close relationship between our implemented tracker based 16 on particle filters and genetic algorithms.  ...  For tracking, a particle filter is incor-14 porated to propagate sample distributions over time.  ...  Additionally, we discuss 93 the similarity between our implemented tracker based on parti-94 cle filters and genetic algorithms (GAs).  ... 
doi:10.1109/tsmcb.2008.927281 pmid:19022719 fatcat:3x7g5m3ouvhmhcqxxlc3cs7hsq

Floor Map-Aware Particle Filtering Based Indoor Navigation System

Suhardi Azliy Junoh, Santosh Subedi, Jae-Young Pyun
2021 IEEE Access  
The simulation of the k-means algorithm outperforms the EM algorithm in time complexity based on the particle iterations for multiple target tracking.  ...  The authors in [37] utilized a genetic algorithm in which particles with the most significant weight were chosen during the resampling process.  ... 
doi:10.1109/access.2021.3102992 fatcat:zkcftfbrffa4jfiatfipyviajy

A Robust Indoor Mobile Localization Algorithm for Wireless Sensor Network in Mixed LOS/NLOS Environments

Ou Yong Kang, Cheng Long
2020 Journal of Sensors  
Secondly, this paper propose a particle selection strategy to select the standard deviation of the particle swarm as the basis of evolution and combine the genetic evolution algorithm, the particle filter  ...  In this paper, we propose a NLOS correction method algorithm base on the time of arrival (TOA) to solve the NLOS problem.  ...  k × Ti : ð16Þ The Particle Filter Based on Genetic Evolution Algorithm and Unscented Kalman Filter (GEUPF) .  ... 
doi:10.1155/2020/8854389 fatcat:jdzbpppg5ree3llfbbayuctmwi

Novel prior position determination approaches in particle filter for ultra wideband (UWB)‐Based indoor positioning

Ning Zhou, Lawrence Lau, Ruibin Bai, Terry Moore
2021 Navigation  
They are integrated into particle filtering algorithms for prior position determination.  ...  Filtering-based indoor positioning using ultra wideband (UWB) requires known velocity to predict prior position in the prediction stage.  ...  The standard deviation of the process noise used in each algorithm is determined by a genetic optimization-based tuning method proposed in Oshman and Shaviv (2000) .  ... 
doi:10.1002/navi.415 fatcat:vcgmtf74nzdgxn7ovj5ixo2nxq


2009 International journal of pattern recognition and artificial intelligence  
Finally, for the SVM-based classifier, we propose a non-dominated sorting genetic algorithm to obtain optimized free-parameter settings.  ...  Our approach, based on Principal Component Analysis (PCA) and Support Vector Machines (SVM) improved by genetic algorithm optimization of the freeparameters, is found to outperform conventional appearance-based  ...  First, we propose a non-dominated sorting genetic algorithm to find the optimal free-parameters of a SVM-based face classifier in an optimized fashion.  ... 
doi:10.1142/s0218001409007223 fatcat:2r4xzvmc2feexlb6fezqk3gg54

A Study on Swarm Robot-Based Invader-Enclosing Technique on Multiple Distributed Object Environments

Kwang-Eun Ko, Seung-Min Park, Jun-Heong Park, Kwee-Bo Sim
2011 Journal of Electrical Engineering and Technology  
By using particle filter, object tracking and location estimation procedures are performed and a specified enclosing point for the swarm robots is located on the interactive positions in their coordinate  ...  In this study, we propose a core technique for intelligent surveillance system that is based on swarm robot technology.  ...  Particle Filter-Based Object Tracking Particle filter model for object tracking In general, video-based object tracking deals with nonstationary image streams that change over time.  ... 
doi:10.5370/jeet.2011.6.6.806 fatcat:tspjnwlr3raqfno3euufunvauy

iBILL: Using iBeacon and Inertial Sensors for Accurate Indoor Localization in Large Open Areas

Xudong Wu, Ruofei Shen, Luoyi Fu, Xiaohua Tian, Peng Liu, Xinbing Wang
2017 IEEE Access  
With users' real-time locations estimated by inertial sensors through an improved particle filter, we revise the algorithm of augmented particle filter to cope with fluctuations of magnetic field.  ...  As a key technology that is widely adopted in location-based services (LBS), indoor localization has received considerable attention in both research and industrial areas.  ...  In iBILL, we use gradient descent algorithm which is a classical optimal algorithm in machine learning theory to resolve the position.  ... 
doi:10.1109/access.2017.2726088 fatcat:nbtivsbnrbgy5ltulcelafc4ju

Vision and RFID data fusion for tracking people in crowds by a mobile robot

T. Germa, F. Lerasle, N. Ouadah, V. Cadenat
2010 Computer Vision and Image Understanding  
In a first step, we have dealt with this problem using the particle filtering framework because it enables the fusion of heterogeneous data, which improves the tracking robustness.  ...  To perform such a task, it is necessary to efficiently track humans in crowds.  ...  The first one is composed of PCA-based computation and multi-class SVM 7 learning, while the second one uses a genetic algorithm free-parameters optimization based on NSGA-II.  ... 
doi:10.1016/j.cviu.2010.01.008 fatcat:jv53kunwqze73frngzejrydjxm

A CPSO Algorithm for Optimization of Wireless Sensor Network Positioning

2020 North atlantic university union: International Journal of Circuits, Systems and Signal Processing  
the positioning performance of the sensor node based on the research of the existing location algorithm.  ...  Aiming at the problem that the signal intensity indication (RSSI) is susceptible to the environment, an improved chaotic particle swarm optimization (CPSO) is proposed in this paper in order to improve  ...  The particle filter method is improved by using the dynamic cluster structure network, the parallel particle filter method and the information particle filter method are used for distributed estimation  ... 
doi:10.46300/9106.2020.14.96 fatcat:p7tkvbedirgr3jkr6an7lfyhk4
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