Sensor Data Fusion
A New Approach to Self-Localization for Mobile Robots Using Sensor Data Fusion
... odometry data with a feedback from the ...sensory data. Existence of a rich chronicle of using multi sensor data fusion methods in mobile robotic applications (see [6,7,8,9] as some ...
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The Research of Multi sensor Data Fusion Technology
... multi-sensor data fusion technologies have more extensively application in a plurality of ...of data obtained from different sensors, command information system or commander is demanded to ...
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Application of Artificial Intelligence Detection System Based on Multi-sensor Data Fusion
... multi sensor data fusion technology and unmanned vehi- cle obstacle avoidance navigation algorithm were studied ...multi sensor data fusion technology was applied to unmanned ...
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Designing a Home Security System using Sensor Data Fusion with DST and DSMT Methods
... with sensor fusion methods are more attractive, as an applicable and high performance methods for the ...using sensor data fusion have been ...multisensor fusion with direct ...
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Multi-sensor Data Fusion Based on Consistency Test and Sliding Window Variance Weighted Algorithm in Sensor Networks
... of data fusion is low due to zero drift and the drop of the stability for part of the sensor when multiple sensor nodes measuring on the same ...multi- sensor data fusion ...
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Target tracking solution for multi-sensor data fusion in wireless sensor networks
... multi-sensor Data Fusion in ...of sensor node of the cluster by the optimizing in selecting sensor nodes in the cluster to track the ...the sensor node and the target should be ...
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Design of an Intelligent Housing System Using Sensor Data Fusion Approaches
... the sensor fusion itself, and the nature of the parallel processing of sensor data fusion approach provides less costly information ...other fusion approaches using fuzzy ...
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A WIRELESS SENSOR DATA FUSION FRAMEWORK FOR CONTAMINANT DETECTION
... the sensor network may also be used to directly control the sensor network and provide application of basic fusion algorithms that do not require significant computational ...wireless sensor ...
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Investigation of a multi-sensor data fusion technique for the fault diagnosis of gearboxes
... In this work, a gearbox fault diagnosis system is designed to simulate different gearbox health conditions. As shown in Figure 1, the experimental system contains a two-stage gearbox, which is driven by an ac motor. The ...
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MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES
... multi sensor data fusion for target tracking and road environment perception in automated ...vehicles. Fusion was done at central level and sensor ...than sensor level ...
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Enhance Sensor Data Fusion Based on Time Slot Voting Mechanism
... Virtual Sensor estimates product objective or process conditions using mathematical models rather than and sometimes in conjunction with physical ...physical sensor readings to calculate the estimated ...
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II. MULTI-SENSOR DATA FUSION WITH DEMPSTER-SHAFER EVIDENCE THEORY
... MULTI-SENSOR DATA FUSION WITH DEMPSTER-SHAFER EVIDENCE THEORY Data fusion is “a process dealing with the association, correlation, and combination of data and information from ...
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Multi-sensor data fusion for geohazards early warning system – an adapted process model
... processing. Data fusion processing cannot correct errors (or failures) in processing of individual sensor ...(3) Sensor fusion can cause poor performance or even a corruption of the ...
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Indoor Localization of Wheeled Robots using Multi-sensor Data Fusion with Event-based Measurements
... GPS data is low for the service robots assuming to move very accurately in public places, but also the GPS signal is too weak to be received ...reference data and some transmitters to send the location ...
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A Comparative Study of Different Kalman Filtering Methods in Multi Sensor Data Fusion
... broadcasted to the corresponding i-th nodes. The advantage of DKF against CKF is an embedded processor of DKF in sensor; hence no central fusion is needed, see [12]. In DKF node the observations are used ...
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I-SENSE: A Light-Weight Middleware for Embedded Multi-Sensor Data-Fusion
... For training data sets larger than 3000 elements, common SVM learning strategies are not feasible, especially on embedded platforms. Therefore, a modified version of the original SVM, the so called Least Squares ...
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Virtual lifeline: Multimodal sensor data fusion for robust navigation in unknown environments
... the fusion and has to be compensated with a high value of standard deviation in the filtering ...PDR fusion with any measurement is clearly better than PDR ...
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Subspace-Based Algorithms for Structural Identification, Damage Detection, and Sensor Data Fusion
... reduced set of sensors. This allows evaluating the test for sev- eral data sets both for the healthy and the damaged structure. The method detects damage in an early stage, and it does not require the extraction ...
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1. A review of multi sensor data fusion for signal processing
... general data fusion ...military data fusion scenarios, but is singularly inappropriate for many autonomous systems or information fusion ...network-centric data fusion ...
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A Novel Voronoi Based Particle Filter for Multi Sensor Data Fusion
... ent sensor errors (biases, scale-factor errors, noises and drifts) that may render the uncorrected measurements useless, especially for low-cost sensors ...velocity data, with bounded errors ...
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