Faster access than browser!
41 relations: A priori and a posteriori, Accelerometer, Bayesian network, Brooks–Iyengar algorithm, Central limit theorem, Convolutional neural network, Cramer's rule, Data (computing), Data fusion, Data mining, Dempster–Shafer theory, Extended Kalman filter, Fisher's method, Global Positioning System, GPS/INS, Homogeneity and heterogeneity, Hyperspectral imaging, Image fusion, Inertial navigation system, Information, Information integration, Kalman filter, List of sensors, Magnetometer, Microelectromechanical systems, Multisensory integration, Phased array, Professional video camera, Radar, Riccati equation, Seismometer, Sensor, Sensor grid, Soft sensor, Sonar, Sonobuoy, Square Kilometre Array, Stereoscopy, TransducerML, Variance, Very-long-baseline interferometry.
A priori and a posteriori
The Latin phrases a priori ("from the earlier") and a posteriori ("from the latter") are philosophical terms of art popularized by Immanuel Kant's Critique of Pure Reason (first published in 1781, second edition in 1787), one of the most influential works in the history of philosophy.
New!!: Sensor fusion and A priori and a posteriori · See more »
Accelerometer
An accelerometer is a device that measures proper acceleration.
New!!: Sensor fusion and Accelerometer · See more »
Bayesian network
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).
New!!: Sensor fusion and Bayesian network · See more »
Brooks–Iyengar algorithm
The Brooks–Iyengar algorithm or Brooks–Iyengar hybrid algorithm is a distributed algorithm that improves both the precision and accuracy of the interval measurements taken by a distributed sensor network, even in the presence of faulty sensors.
New!!: Sensor fusion and Brooks–Iyengar algorithm · See more »
Central limit theorem
In probability theory, the central limit theorem (CLT) establishes that, in some situations, when independent random variables are added, their properly normalized sum tends toward a normal distribution (informally a "bell curve") even if the original variables themselves are not normally distributed.
New!!: Sensor fusion and Central limit theorem · See more »
Convolutional neural network
In machine learning, a convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks, most commonly applied to analyzing visual imagery.
New!!: Sensor fusion and Convolutional neural network · See more »
Cramer's rule
In linear algebra, Cramer's rule is an explicit formula for the solution of a system of linear equations with as many equations as unknowns, valid whenever the system has a unique solution.
New!!: Sensor fusion and Cramer's rule · See more »
Data (computing)
Data (treated as singular, plural, or as a mass noun) is any sequence of one or more symbols given meaning by specific act(s) of interpretation.
New!!: Sensor fusion and Data (computing) · See more »
Data fusion
Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source.
New!!: Sensor fusion and Data fusion · See more »
Data mining
Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
New!!: Sensor fusion and Data mining · See more »
Dempster–Shafer theory
The theory of belief functions, also referred to as evidence theory or Dempster–Shafer theory (DST), is a general framework for reasoning with uncertainty, with understood connections to other frameworks such as probability, possibility and imprecise probability theories.
New!!: Sensor fusion and Dempster–Shafer theory · See more »
Extended Kalman filter
In estimation theory, the extended Kalman filter (EKF) is the nonlinear version of the Kalman filter which linearizes about an estimate of the current mean and covariance.
New!!: Sensor fusion and Extended Kalman filter · See more »
Fisher's method
In statistics, Fisher's method, also known as Fisher's combined probability test, is a technique for data fusion or "meta-analysis" (analysis of analyses).
New!!: Sensor fusion and Fisher's method · See more »
Global Positioning System
The Global Positioning System (GPS), originally Navstar GPS, is a satellite-based radionavigation system owned by the United States government and operated by the United States Air Force.
New!!: Sensor fusion and Global Positioning System · See more »
GPS/INS
GPS/INS is the use of GPS satellite signals to correct or calibrate a solution from an inertial navigation system (INS).
New!!: Sensor fusion and GPS/INS · See more »
Homogeneity and heterogeneity
Homogeneity and heterogeneity are concepts often used in the sciences and statistics relating to the uniformity in a substance or organism.
New!!: Sensor fusion and Homogeneity and heterogeneity · See more »
Hyperspectral imaging
Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum.
New!!: Sensor fusion and Hyperspectral imaging · See more »
Image fusion
The image fusion process is defined as gathering all the important information from multiple images, and their inclusion into fewer images, usually a single one.
New!!: Sensor fusion and Image fusion · See more »
Inertial navigation system
An inertial navigation system (INS) is a navigation aid that uses a computer, motion sensors (accelerometers), rotation sensors (gyroscopes), and occasionally magnetic sensors (magnetometers) to continuously calculate by dead reckoning the position, the orientation, and the velocity (direction and speed of movement) of a moving object without the need for external references.
New!!: Sensor fusion and Inertial navigation system · See more »
Information
Information is any entity or form that provides the answer to a question of some kind or resolves uncertainty.
New!!: Sensor fusion and Information · See more »
Information integration
Information integration (II) is the merging of information from heterogeneous sources with differing conceptual, contextual and typographical representations.
New!!: Sensor fusion and Information integration · See more »
Kalman filter
Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe.
New!!: Sensor fusion and Kalman filter · See more »
List of sensors
This is a list of sensors sorted by sensor type.
New!!: Sensor fusion and List of sensors · See more »
Magnetometer
A magnetometer is an instrument that measures magnetism—either the magnetization of a magnetic material like a ferromagnet, or the direction, strength, or relative change of a magnetic field at a particular location.
New!!: Sensor fusion and Magnetometer · See more »
Microelectromechanical systems
Microelectromechanical systems (MEMS, also written as micro-electro-mechanical, MicroElectroMechanical or microelectronic and microelectromechanical systems and the related micromechatronics) is the technology of microscopic devices, particularly those with moving parts.
New!!: Sensor fusion and Microelectromechanical systems · See more »
Multisensory integration
Multisensory integration, also known as multimodal integration, is the study of how information from the different sensory modalities, such as sight, sound, touch, smell, self-motion and taste, may be integrated by the nervous system.
New!!: Sensor fusion and Multisensory integration · See more »
Phased array
In antenna theory, a phased array usually means an electronically scanned array; a computer-controlled array of antennas which creates a beam of radio waves which can be electronically steered to point in different directions, without moving the antennas.
New!!: Sensor fusion and Phased array · See more »
Professional video camera
A professional video camera (often called a television camera even though the use has spread beyond television) is a high-end device for creating electronic moving images (as opposed to a movie camera, that earlier recorded the images on film).
New!!: Sensor fusion and Professional video camera · See more »
Radar
Radar is an object-detection system that uses radio waves to determine the range, angle, or velocity of objects.
New!!: Sensor fusion and Radar · See more »
Riccati equation
In mathematics, a Riccati equation in the narrowest sense is any first-order ordinary differential equation that is quadratic in the unknown function.
New!!: Sensor fusion and Riccati equation · See more »
Seismometer
A seismometer is an instrument that measures motion of the ground, caused by, for example, an earthquake, a volcanic eruption, or the use of explosives.
New!!: Sensor fusion and Seismometer · See more »
Sensor
In the broadest definition, a sensor is a device, module, or subsystem whose purpose is to detect events or changes in its environment and send the information to other electronics, frequently a computer processor.
New!!: Sensor fusion and Sensor · See more »
Sensor grid
A sensor grid integrates wireless sensor networks with grid computing concepts to enable real-time sensor data collection and the sharing of computational and storage resources for sensor data processing and management.
New!!: Sensor fusion and Sensor grid · See more »
Soft sensor
Soft sensor or virtual sensor is a common name for software where several measurements are processed together.
New!!: Sensor fusion and Soft sensor · See more »
Sonar
Sonar (originally an acronym for SOund Navigation And Ranging) is a technique that uses sound propagation (usually underwater, as in submarine navigation) to navigate, communicate with or detect objects on or under the surface of the water, such as other vessels.
New!!: Sensor fusion and Sonar · See more »
Sonobuoy
A sonobuoy (a portmanteau of sonar and buoy) is a relatively small buoy (typically, in diameter and long) expendable sonar system that is dropped/ejected from aircraft or ships conducting anti-submarine warfare or underwater acoustic research.
New!!: Sensor fusion and Sonobuoy · See more »
Square Kilometre Array
The Square Kilometre Array (SKA) is a large multi radio telescope project aimed to be built in Australia and South Africa.
New!!: Sensor fusion and Square Kilometre Array · See more »
Stereoscopy
Stereoscopy (also called stereoscopics, or stereo imaging) is a technique for creating or enhancing the illusion of depth in an image by means of stereopsis for binocular vision.
New!!: Sensor fusion and Stereoscopy · See more »
TransducerML
TransducerML (Transducer Markup Language) or TML is a retired Open Geospatial Consortium standard developed to describe any transducer (sensor or transmitter) in terms of a common model, including characterizing not only the data but XML formed metadata describing the system producing that data.
New!!: Sensor fusion and TransducerML · See more »
Variance
In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean.
New!!: Sensor fusion and Variance · See more »
Very-long-baseline interferometry
Very-long-baseline interferometry (VLBI) is a type of astronomical interferometry used in radio astronomy.
New!!: Sensor fusion and Very-long-baseline interferometry · See more »
Redirects here:
Sensor Fusion, Sensor data fusion.
References
[1] https://en.wikipedia.org/wiki/Sensor_fusion
