Data Fusion Lexicon
By F. White. 1991
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Wenxiu Ding
- Xiaorong Ding
- Zheng Yan
- Yali Zheng
- Yuan-ting Zhang
- Carmen C. Y. Poon
- Jorge A. Balazs
- Benny P. L. Lo
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].”
- Opinion Mining and Information Fusion: A survey (2016, methodology): “To summarize, level 0 of the JDL could be used to fuse different data sources in the data acquisition step of the Opinion Mining process.”
- A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods (2020, methodology): “Sensor fusion or data fusion as defined by Joint Directors of Laboratories (JDL) workshop [95] is a multi-level procedure dealing with the association, correlation, integration of data and information from single and multiple sources to attain distinguished position, determine estimates and complete”
- Multisensor data fusion: A review of the state-of-the-art (2013, background): “Joint Directors of Laboratories (JDL) [9] defines data fusion as a ''multilevel , multifaceted process handling the automatic detection, association, correlation, estimation, and combination of data and information from several sources.''”
- Unobtrusive Sensing and Wearable Devices for Health Informatics (2014, background): “In [136] , data fusion is defined as a "multilevel, multifaceted process handling the automatic detection, association, correlation, estimation, and combination of data and information from several sources".”