Results 51 to 60 of about 8,181 (194)
Particle Filter for Estimation and Tracking
Journal of Measurement Science and Instrumentation, 2010 In recent years,the particle filter technique has been widely used in tracking,estimation and navigation.In this paper,the authors described several practical filters including the general practical,the extended Kaman practical,and the unscented particle
Ji-zhen WANG +3 more
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INS/GNSS Tightly-Coupled Integration Using Quaternion-Based AUPF for USV
Sensors, 2016 This paper addresses the problem of integration of Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS) for the purpose of developing a low-cost, robust and highly accurate navigation system for unmanned surface vehicles (USVs).
Guoqing Xia, Guoqing Wang
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Fixed-Wing Unmanned Aerial Vehicle 3D-Model-Based Tracking for Autonomous Landing
Drones, 2023 The vast increase in the available computational capability has allowed the application of Particle-Filter (PF)-based approaches for monocular 3D-model-based tracking.
Nuno Pessanha Santos +2 more
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Earthquake Engineering &Structural Dynamics, Volume 55, Issue 3, Page 759-780, March 2026.ABSTRACT Accurate mechanical characterization of civil engineering structures after construction remains challenging due to the unique complexities of each structure, including geometric configurations, imperfect design modeling assumptions, soil conditions, and pervasive uncertainties in actual operational environments. Leveraging actual measurements,
Xinhao He +7 more
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Apple Trajectory Prediction in Orchards: A YOLOv8-EK-IPF Approach
AgricultureTo address the challenge of accurate apple harvesting by orchard robots, which is hindered by dynamic changes in apple position due to wind interference and branch swaying, this study proposes an optimized prediction algorithm based on an integration of ...
Jinxing Niu +4 more
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An adaptive particle filter based on PSO and fuzzy inference system for nonlinear state systems
Automatika, 2018 Particle filters have been widely used in nonlinear/non-Gaussian Bayesian state estimation problems. However, the particle filter (PF) is inconsistent over time. The inconsistency of PF mainly results from the particle depletion in resampling step and an
Ramazan Havangi
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An Improved Particle Filter for Target Tracking in Sensor Systems
Sensors, 2007 Sensor systems are not always equipped with the ability to track targets. Sudden maneuvers of a target can have a great impact on the sensor system, which will increase the miss rate and rate of false target detection.
Jun-Jie Ma, Sheng Wang, Xue Wang
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IEEE Access, 2021 Tight integration algorithms fusing Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) have become popular in many high-accuracy positioning and navigation applications.
Oliviero Vouch +3 more
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Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF
Energy Science &Engineering, Volume 14, Issue 3, Page 1416-1430, March 2026.This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
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Study on Maneuvering Target On-axis Tracking Algorithm of Modified Current Statistical Model
MATEC Web of Conferences, 2018 Aiming at the model adaptability and the filter precision on the maneuvering target on-axis tracking, The paper put forward a filter algorithm based on modified current statistical model.
Zhenkai Xiong, Fanying Li, Lei Zhang
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