Sensor and Data Fusion Concepts and Applications

By L. Klein. 1993

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Citations in the corpus

A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, background): “There exist many definitions of data fusion [11-13].”
Issues in data fusion for healthcare monitoring (2008, background): “Also, fusion of data from multiple sensors is useful for obtaining more reliable information than individual measurements obtained from a single type of sensor [23, 28].”
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks (2004, methodology): “Relying on the convoy tree, the root collects information from the sensor nodes and refine these information to obtain more complete and accurate information about the target using some classification algorithms [11], [12].”
Unscented filtering and nonlinear estimation (2004, background): “The multilevel data fusion problem has been decomposed into a set of hierarchical domains [36].”
Data Gathering Algorithms in Sensor Networks Using Energy Metrics (2002, background): “For example, a sensor network can be used for detecting the presence of potential threats in a military conflict.”
Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks (2004, methodology): “We begin with a short introduction to some of the prior work in the area of wireless sensor networks before proceeding to discuss the event region detection problem and our solution in greater detail.”
An introduction to multisensor data fusion (1997, background): “1), collections of robust mathematical techniques [2]–[4], and established system”
Multisensor data fusion: A review of the state-of-the-art (2013, background): “’’ Klein [10] generalizes this definition, stating that data can be provided either by a single source or by multiple sources.”
Multisensor fusion and integration: approaches, applications, and future research directions (2002, background): “Examples are National Bureau of Standards (NBS) sensory and control hierarchy [2], logical sensor networks [2], and Joint Directors of Laboratories (JDL) models [3], [14], [ 15 ].”
Application-specific protocol architectures for wireless networks (2000, methodology): “Therefore, automated methods of combining or aggregating the data into a small set of meaningful information are required [15, 38, 52, 93].”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, methodology): “Sensor fusion is the process of combing the data from multiple sensors to estimate the states of an object and achieve object detection and classification [291], [292].”