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检索条件"主题词=Interacting Multiple Model Filter"
19 条 记 录,以下是1-10 订阅
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Real-Time Power Tracking Control for Supercapacitor-Based Regenerative Braking System Using interacting multiple model filter
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2023年 第9期72卷 11437-11445页
作者: Jin, Weibin Gao, Yan Zhang, Hongjuan Jin, Baoquan Taiyuan Univ Technol Coll Elect & Power Engn Taiyuan 030024 Shanxi Peoples R China Taiyuan Univ Technol Key Lab Adv Transducers & Intelligent Control Sys Minist Educ Taiyuan 030024 Shanxi Peoples R China
The mismatch between the charging power of the supercapacitor and the braking power of the motor will lead to redundant energy cycling. To accurately track the braking power, a real-time tracking control of braking po... 详细信息
来源: 评论
Maneuvering Target Tracking using the Autoencoder-interacting multiple model filter  54
Maneuvering Target Tracking using the Autoencoder-Interactin...
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54th Asilomar Conference on Signals, Systems and Computers
作者: Vedula, Kirty Weiss, Matthew L. Paffenroth, Randy C. Uzarski, Joshua R. Brown, D. Richard, III Worcester Polytech Inst 100 Inst Rd Worcester MA 01609 USA US Army CCDC SC Soldier Protect & Survivabil Directorate Natick MA 01760 USA
This paper considers the problem of tracking and predicting the state of a dynamic system with stochastic dynamics and multiple modes of operation. A well-known approach to this problem is the "interacting multip... 详细信息
来源: 评论
UGV Status Monitoring System Using interacting multiple model filter  18
UGV Status Monitoring System Using Interacting Multiple Mode...
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18th International Conference on Control, Automation and Systems (ICCAS)
作者: Kang, Chang Mook Shin, Jongho Lee, Taehyung Agcy Def Dev Daejeon 34186 South Korea
In this paper, we presents unmanned ground vehicle (UGV) status monitoring system using interacting multiple model (IMM) filter. It is known that the characteristics of the tire cornering stiffness varies according to... 详细信息
来源: 评论
A low-complexity interacting multiple model filter for maneuvering target tracking
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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2017年 73卷 157-164页
作者: Khalid, Syed Safwan Abrar, Shafayat COMSATS Inst Informat Technol Islamabad 44000 Pakistan King Abdullah Univ Sci & Technol Thuwal 23955 Saudi Arabia
In this work, we address the target tracking problem fora coordinate-decoupled Markovian jump-mean acceleration based maneuvering mobility model. A novel low-complexity alternative to the conventional interacting mult... 详细信息
来源: 评论
UGV Status Monitoring System Using interacting multiple model filter
UGV Status Monitoring System Using Interacting Multiple Mode...
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International Conference on Control, Automation and Systems
作者: Chang Mook Kang Jongho Shin Taehyung Lee Agency for Defense Development Daejeon Korea
In this paper, we presents unmanned ground vehicle (UGV) status monitoring system using interacting multiple model (IMM) filter. It is known that the characteristics of the tire cornering stiffness varies according to... 详细信息
来源: 评论
Robust Object Tracking Against Sensor Failures With Centralized IMM filter
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IEEE ACCESS 2024年 12卷 85203-85218页
作者: Choi, Jaeho Park, Jongwon Huh, Kunsoo Hanyang Univ Dept Automot Engn Automot Comp Convergence Seoul 04763 South Korea Hanyang Univ Dept Automot Engn Seoul 04763 South Korea
Highly automated driving requires the use of multiple sensors for reliable tracking functionality. In response to the requirement, the proposed method modifies the conventional interacting multiple model (IMM) filter ... 详细信息
来源: 评论
Adaptive Decentralized Sensor Fusion for Autonomous Vehicle: Estimating the Position of Surrounding Vehicles
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IEEE ACCESS 2023年 11卷 90999-91008页
作者: Yoon, Kyusang Choi, Jaeho Huh, Kunsoo Hanyang Univ Dept Automot Engn Automot Comp Convergence Seoul 04763 South Korea Hanyang Univ Dept Automot Engn Seoul 04763 South Korea
The tracking accuracy of nearby vehicles determines the safety and feasibility of driver assistance systems or autonomous vehicles. Recent research has been active to employ additional sensors or to combine heterogene... 详细信息
来源: 评论
Innovative Interaction Approach in IMM filtering for Vehicle Motion models With Unequal States Dimension
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2022年 第4期71卷 3579-3594页
作者: Zubaca, Jasmina Stolz, Michael Seeber, Richard Schratter, Markus Watzenig, Daniel Graz Univ Technol Inst Automat & Control A-8010 Graz Austria Virtual Vehicle Res GmbH A-8010 Graz Austria
Robust and adaptive vehicle state estimation and tracking algorithms have become a very important part within the autonomous driving field. The family of interacting multiple model (IMM) filters has shown to provide v... 详细信息
来源: 评论
An interacting multiple model filter-based autofocus strategy for confocal time-lapse microscopy
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JOURNAL OF MICROSCOPY 2012年 第3期245卷 265-275页
作者: Chowdhury, S. Kandhavelu, M. Yli-Harja, O. Ribeiro, A. S. Tampere Univ Technol Computat Syst Biol Res Grp Dept Signal Proc FIN-33101 Tampere Finland Inst Syst Biol Seattle WA USA
Gene expression and other cellular processes are stochastic, thus their study requires observing multiple events in multiple cells. Therefore, confocal microscopy cell imaging has recently gained much interest. In tim... 详细信息
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Low Temperature, Current Dependent Battery State Estimation Using interacting multiple model Strategy
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IEEE ACCESS 2021年 9卷 99876-99889页
作者: Messing, Marvin Rahimifard, Sara Shoa, Tina Habibi, Saeid McMaster Univ Dept Mech Engn Hamilton ON L8S 4L7 Canada Cadex Elect Inc Richmond BC V6W 1J6 Canada
Lithium-ion battery State of Charge (SoC) estimation for Electric Vehicle (EV) applications must be robust and as accurate as possible to maximize battery utilization and ensure safe operation over a wide range of ope... 详细信息
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