Handbook of Multisensor Data Fusion

By D. Hall, J. Llinas. 2001

985 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3df55f2ecd44d41a1473615f9a248c0cea541784

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Citations in the corpus

Capacity bounds for Cooperative diversity (2006, background): “, Bluetooth [16]), sensor and sensor-actuator networks ([35, 11, 17]).”
On the Definition of Information Fusion as a Field of Research (2007, methodology): “In this paper, we review previous definitions of information fusion, also including definitions of data and sensor fusion, which sometimes are considered to be special cases of, and sometimes synonyms for, information fusion [1].”
A survey of Internet-of-Things: Future vision, architecture, challenges and services (2014, background): “Ubiquitous computing which was thought as a difficult task has now become a reality due to advances in the field of Automatic Identification, wireless communications, distributed computation process and fast speed of Internet [8].”
Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, unknown): “A u t h o r ' s p e r s o n a l”
Query Processing in Sensor Networks (2003, background): “Sensor data might contain noise, and it is often possible to obtain more accurate results by fusing data from several sensors [12].”
A Review of Data Fusion Techniques (2013, background): “To estimate the conditional probabilities, Pan et al. [52] proposed the use of NNs, whereas Cou´e et al. [53] proposed the Bayesian programming.”
On k-coverage in a mostly sleeping sensor network (2004, background): “k coverage of a target improves the estimate of target location or its velocity by a factor of √ k, if detection data are fused in an optimal manner [9]).”
Image fusion: Advances in the state of the art (2007, unknown): “Some sensors are capable of capturing registered multimodality images [34].”
Advanced monitoring of machining operations (2010, methodology): “Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and human input [212–214].”