Effective Efficiency Advantage Assessment of Information Filter for Conventional Kalman Filter in GNSS Scenarios [PDF]
Sensors, 2019 The Global Navigation Satellite System (GNSS) is a widely used positioning technique. Computational efficiency is crucial to applications such as real-time GNSS positioning and GNSS network data processing.
Yanning Zheng, Siyou Wang, Shengli Wang
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Design and Implementation of Respiration Rate Measurement System Using an Information Filter on an Embedded Device [PDF]
Sensors, 2018 In this work, an algorithm was developed to measure respiration rate for an embedded device that can be used by a field robot for relief operations.
Radius Bhayu Prasetiyo +2 more
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Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise [PDF]
Sensors, 2019 Distributed state estimation plays a key role in space situation awareness via a sensor network. This paper proposes two adaptive consensus-based unscented information filters for tracking target with maneuver and colored measurement noise.
Zhao Li, Yidi Wang, Wei Zheng
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Multisensor decentralized nonlinear fusion using adaptive cubature information filter. [PDF]
PLoS ONE, 2020 In nonlinear multisensor system, abrupt state changes and unknown variance of measurement noise are very common, which challenges the majority of the previously developed models for precisely known multisensor fusion techniques.
Binglei Guan, Xianfeng Tang
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Adaptive Fifth-Degree Cubature Information Filter for Multi-Sensor Bearings-Only Tracking [PDF]
Sensors, 2018 Standard Bayesian filtering algorithms only work well when the statistical properties of system noises are exactly known. However, this assumption is not always plausible in real target tracking applications.
Haonan Jiang, Yuanli Cai
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RGB-D SLAM Combining Visual Odometry and Extended Information Filter [PDF]
Sensors, 2015 In this paper, we present a novel RGB-D SLAM system based on visual odometry and an extended information filter, which does not require any other sensors or odometry.
Heng Zhang +3 more
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Mathematics, 2022 The paper considers the problem of algorithmic differentiation of information matrix difference equations for calculating the information matrix derivatives in the information Kalman filter.
Andrey Tsyganov, Julia Tsyganova
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Filter Pruning via Measuring Feature Map Information
Sensors, 2021 Neural network pruning, an important method to reduce the computational complexity of deep models, can be well applied to devices with limited resources. However, most current methods focus on some kind of information about the filter itself to prune the
Linsong Shao +6 more
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Improving the Shearer Positioning Accuracy Using the Shearer Motion Constraints in Longwall Panels
IEEE Access, 2020 The shearer positioning method with an inertial navigation system (INS) is feasible in a longwall mining face. However, INS error greatly increases with time, which reduces the shearer positioning accuracy.
Shijia Wang, Shibo Wang
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Context filters for document-based information filtering [PDF]
Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999 We propose a keyphrase-sense disambiguation methodology called "context filters" for use in keyphrase based information filtering systems. A context filter finds whether an input keyphrase has occurred in the required context. Context filters consider various factors of ambiguity.
Murthy, KRK, Keerthi, SS
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