Results 231 to 240 of about 312,110 (285)

Sensor integration and data fusion

Journal of Robotic Systems, 1990
AbstractThe problem of sensor integration and data fusion is addressed. We consider the problem of combining information from diversified sources in a coherent fashion. We assume that information from various sensors may be available in different forms at the fusion.
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Data Fusion in Sensor Networks

2006 IEEE International Conference on Video and Signal Based Surveillance, 2005
There is a growing excitement about the potential application of large scale sensor networks in diverse applications such as precision agriculture, geophysical and environment monitoring, remote health care, and security. Rapid progress in sensing hardware, communications and low-power computing has resulted in a profusion of commercially available ...
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Data Resources For Sensor Fusion

SPIE Proceedings, 1989
Advances in our sensor-fusion capabilities are often limited by the lack of appropriate data of scenes and objects acquired by selected sensors. This limitation is severe for sensor-fusion techniques that view objects in space for which observations are costly and require long lead times to plan.
Martin G. Seitz, Karen L. Corbett
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Sensor Modeling and Multi-Sensor Data Fusion

2005
Abstract : This research report presents a novel strategy to develop a sensor model based on a probabilistic approach that would accurately provide information about individual sensor's uncertainties and limitations. The strategy also establishes the dependence of sensor's uncertainties on some of environmental parameters or parameters of any feature ...
Manish Kumar, Devendra P. Garg
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Multi-sensor Data fusion in wireless sensor networks

The Proceedings of the Multiconference on "Computational Engineering in Systems Applications", 2006
In wireless sensor networks, the sensor nodes usually use battery power, one of the main design challenges is to obtain long system lifetime. In a sensor network, the nodes usually sense several kinds of information. These kinds of data have different characteristics. In this paper, the sensed data from the sensor nodes are divided into two types; they
Yin Zhenyu, Zhao Hai, Lin Kai, Sun Peigang, Gong Yishan, Zhang Yongqing, Xu Ye   +6 more
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Sensor Data Fusion

2015
In the chapter on personnel detection, we talked about using multimodal and multi-sensor systems in order to attain a high probability of detection with fewer false alarms and high confidence in the decision process.
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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
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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, MEDAGLIANI P, MARTALO' M., MUZZINI A   +3 more
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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 ...
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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
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