Results 161 to 170 of about 1,174,484 (222)
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Model-based multi-sensor data fusion

Proceedings 1992 IEEE International Conference on Robotics and Automation, 2003
The authors describe an algorithm for implementing a multisensor system in a model-based environment with consideration of the constraints. Based on an environment model, geometric features and constraints are generated from a CAD model database. Sensor models are used to predict sensor response to certain features and to interpret raw sensor data.
W. Wen, H.F. Durrant-Whyte
openaire   +1 more source

Zigbee sensor networks with data fusion

2008 3rd International Symposium on Communications, Control and Signal Processing, 2008
In this paper, we propose a simulation-based analysis of the impact of data fusion mechanisms in a Zigbee sensor network used to monitor a spatially constant binary phenomenon. The performance indicators of interest are both physical layer-oriented (Bit Error Rate, BER) and networking- oriented (throughput, delay, and aggregate throughput).
FERRARI G   +3 more
openaire   +2 more sources

Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis

Information Fusion, 2023
Xingxing Jiang   +5 more
semanticscholar   +1 more source

Behavioral knowledge in sensor/data fusion systems

Journal of Robotic Systems, 1990
AbstractThis article proposes a behavioral control formalism to explain situations often encountered in complex sensor/data fusion (eventually decentralized) information acquisition, command and control systems, it involves making the input‐output relations of each actor involved in the fusion process conditional on selected behavioral classes, with ...
openaire   +1 more source

Spatial-Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning

Information Fusion, 2023
Xiaokang Zhou   +7 more
semanticscholar   +1 more source

Analytical modeling of tool health monitoring system using multiple sensor data fusion approach in hard machining

Measurement, 2019
In recent years, a lot of work has been carried out on advance materials, especially hard metals and alloys, which is a vital requirement in many manufacturing industries.
A. Kene, S. K. Choudhury
semanticscholar   +1 more source

Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network

Nonlinear dynamics, 2023
Deqiang He   +5 more
semanticscholar   +1 more source

Sensor data fusion using Kalman filter

Proceedings of the Third International Conference on Information Fusion, 2000
Autonomous robots and vehicles need accurate positioning and localization for their guidance, navigation and control. Often, two or more different sensors are used to obtain reliable data useful for control systems. The paper presents the data fusion system for mobile robot navigation.
J.Z. Sasiadek, P. Hartana
openaire   +1 more source

A New Method to Improve Fault Location Accuracy in Transmission Line Based on Fuzzy Multi-Sensor Data Fusion

IEEE Transactions on Smart Grid, 2019
Fast and accurate fault location in transmission lines has great significance for power system stability and power supply reliability. The location results of the various algorithms are diverse.
Z. Jiao, Rundong Wu
semanticscholar   +1 more source

Sensor Data Fusion

2006
The main contribution of this paper is to present a sensor fusion approach to scene environment mapping as part of a Sensor Data Fusion (SDF) architecture. This approach involves combined sonar array with stereo vision readings.  Sonar readings are interpreted using probability density functions to the occupied and empty regions.
Plascencia, Alfredo, Stepán, Petr
openaire   +1 more source

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