Sensor fusion potential exploitation-innovative architectures and illustrative applications

By Belur V. Dasarathy. 1997

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Citations in the corpus

A survey of data fusion in smart city applications (2019, methodology): “The existing survey papers related to smart city applications or data fusion classiﬁcation are summarized in Table I. Majority of these review papers [18], [39]–[41] strictly focus on one particular smart city domain or one genre of classiﬁcation perspective.”
Revisiting the JDL Data Fusion Model II (2004, background): “In 19 97, Dasarathy [9] put forward ideas associated with the notion that there were three general levels of abstraction in fusion processing, the data level, the feature level, and the decision level.”
Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features (2010, background): “These primarily include amalgamations of physiological sensors and combinations of audio-visual features (Caridakis et al. 2006; Chen et al. 1998; Dasarathy 1997; Picard et al. 2001; Yoshitomi et al. 2000; Zeng et al. 2006).”
Information fusion for wireless sensor networks: Methods, models, and classifications (2007, methodology): “In fact, information fusion deals with three levels of data abstraction: measurement, feature, and decision [Dasarathy 1997; Iyengar et al. 2001].”
Opinion Mining and Information Fusion: A survey (2016, methodology): “Furthermore, according to Dasarathy’s model [139] this step is analogous to Data In-Data Out Fusion, meaning data is fed to this level as input and data is received as output.”
Sensor Technologies for Intelligent Transportation Systems (2018, unknown): “(b) Input/output data type [100].”
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review (2020, unknown): “It is worth mentioning that an output is either used for one of A different categorization was explained by Dasarathy in [60], where he listed five detailed classification classes, including: 1.”
Multisensor fusion and integration: approaches, applications, and future research directions (2002, background): “Dasarathy [ 9 ] reviewed various characterizations of sensor fusion in the literature and proposed the input/output representation of the fusion process.”
Distributed target classification and tracking in sensor networks (2003, unknown): “We refer the reader to [4]–[6]”