An introduction to multisensor data fusion

By D. Hall, J. Llinas. 1997

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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): “Multiple sensors can help improve the breadth of collected information, which also is the only way to enhance the depth of data fusion result because a single sensing modality is usually inadequate [8, 9].”
Optimal sensor placement and motion coordination for target tracking (2006, background): “For works dealing with multisensor fusion possibly under communication constraints we refer to [5, 9, 11, 12] and references therein.”
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review (2020, unknown): “The ﬁeld of sensor fusion has been applied in multiple applications, ranging from military applications such as automated target recognition [56] to medical applications [57], remote sensing [58], and self-driving vehicles [59].”
On the Definition of Information Fusion as a Field of Research (2007, background): “" [15] Hall and Llinas (1997) " Data fusion techniques combine data from multiple sensors, and related information from associated databases, to achieve improved accuracy and more specific inferences than could be achieved by the use of single sensor alone.”
Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular–Mechanical Fusion (2011, background): “One potential solution is data fusion—a field of study that integrates data from multiple sensors to achieve improved accuracy for detection, estimation, or classification [ 14 ].”
Multi-agent control system with information fusion based comfort model for smart buildings (2012, methodology): “Aggregation operators are one of the tools for information fusion which are used to combine the inputs information into a single representative value to be used in the decision making process [15,16].”
On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts (2017, methodology): “Following [19], the information provided by each modality can be fused using either an early-fusion scheme, i.”
A framework for use of wireless sensor networks in forest fire detection and monitoring (2012, methodology): “It also enables data aggregation or data fusion (Hall & Llinas, 1997) to be performed at well-designated nodes, i.e. cluster-heads .”