Patent application number | Description | Published |
20090125274 | SENSOR CONTROL - A system/method of controlling a sensor to sense one target from a plurality of targets includes predicting states of the targets. A set of probability distributions is generated. Each probability distribution in the set represents a setting or settings of at least one control parameter of the sensor. An expected information gain value for each said control parameter in the set is calculated. The information gain value represents an expected quality of a measurement of one of the targets taken by the sensor if controlled according to the control parameter, based on the predicted state of the target. Updating the set of probability distributions takes place to identify the sensor control parameters that maximise the expected information gain value. The sensor is then controlled in accordance with the maximising control parameters. | 05-14-2009 |
20110169951 | ESTIMATING STATES OF A PLURALITY OF TARGETS TRACKED BY A PLURALITY OF SENSORS - A method of estimating states of a plurality of targets tracked by a plurality of sensors. The method includes obtaining a plurality of data sets based on measurements taken by a plurality of sensors, each data set including information on states of a plurality of targets. The method then generates a plurality of target correlation data sets describing correlation of the targets within a first data set and at least one other data set. A Generalised Covariance Union (GCU) technique is used to merge at least some of the plurality of target correlation data sets to generate an estimate of the states of the plurality of targets. | 07-14-2011 |
20120000349 | ASSIGNING WEAPONS TO THREATS - System and method of assigning at least one weapon of a plurality of weapons to at least one threat of a plurality of threats. Data relating to a plurality of weapons and threats data relating to a plurality of threats is received and processed to select at least one of a plurality of weapons assignment techniques. The selected weapons assignment technique is applied to the data to produce data describing assignment of at least one of the plurality of weapons to at least one of the plurality of threats. | 01-05-2012 |
20120030154 | ESTIMATING A STATE OF AT LEAST ONE TARGET - A method of estimating a state of at least one target. The method includes obtaining at least one target measurement from a first sensor, and applying a Gaussian Process technique to a target measurement to obtain an updated target measurement. | 02-02-2012 |
20120059829 | OBJECT CLASSIFICATION - A method and apparatus for processing an observation of an object to be classified, the method comprising using a particle filter in which an observation of an object to be classified is used to weight particles on a plurality of models for the object. The method may further comprise performing at least one further iteration of using the particle filter to weight the particles on the plurality of models for the object using a further observation of the object to be classified. The method may further comprise providing respective classification probabilities that each respective model corresponds to the object based on the weightings of the particles of the respective model. Each of the respective particles may be divided into a respective plurality of sub-particles. | 03-08-2012 |
20120089554 | ESTIMATING A STATE OF AT LEAST ONE TARGET USING A PLURALITY OF SENSORS - The method includes receiving a plurality of target observations from a respective plurality of sensors and using the target observations to compute target state estimates. Each of the target state estimates is assessed to check if it suffers from one of a set of modelled possible fault types. The target state estimates are adjusted to compensate for any modelled fault type when it is assessed to be suffering from that fault type. A reliability value is computed for each of the target state estimates and the target state estimates are fused together based on the computed reliability values to produce a fused target state estimate. | 04-12-2012 |
20130006574 | TARGET TRACKING - An apparatus and method are disclosed for tracking plural targets. The method can include: estimating a state of each target; measuring values for a state of a target, and measuring a value of an identity parameter for that target to distinguish that target from another target. A state of each target can be estimated using the estimated target states for a first time-step; and updating the estimated target states for a second time-step can include performing a Joint Probabilistic Data Association process using measured state values and measured identity parameter values, wherein estimating a state of each target can be implemented using a particle filter. | 01-03-2013 |
20130006576 | TARGET TRACKING - An apparatus and a method are disclosed for tracking a plurality of targets (e.g. land-based vehicles) The method can include: for a first time-step, estimating a state of each target; at a second time-step, measuring values for a state of a target; for the second time-step, estimating a state of each target using the estimated target states for the first time-step; updating the estimated target states for the second time-step using the measured values; and performing an identity management process to estimate a probability that a particular state measurement corresponds to a particular target by providing a mixing matrix, wherein an element of the mixing matrix is based on an overlap between the updated estimated target states of targets in an underlying state space of the estimated target states. | 01-03-2013 |
20130006577 | TARGET TRACKING - An apparatus and a method are disclosed for tracking a plurality of targets (e.g. land-based vehicles). The method can include: for a first time-step, estimating a state of each respective target; at a second time-step, measuring values for a state of each target; for the second time-step, estimating a state of each target using the estimated target states for the first time-step; updating the estimated target states for the second time-step by performing a Joint Probabilistic Data Association process using the measured values; and performing an identity management process to estimate a probability that a particular state measurement corresponds to a particular. | 01-03-2013 |
20130013551 | PROCESS ANALYSIS - An apparatus and method are disclosed for analysing a process. An exemplary method includes: generating a process template; and determining a probabilistic model specifying the process template. The method can include use of task nodes for tasks of the process; observables nodes for observables that may be caused by performance of the tasks; and a background activities node, wherein observables may further be caused by background activities of the background node. The method can include use of task nodes for tasks of the process; observables nodes for observables that may be caused by performance of the tasks; and a background activities node, observables may further be caused by background activities of the background node. The method can include measuring values of an observable corresponding to one of the observables nodes; and updating a probabilistic estimate of the process state using the measured values. | 01-10-2013 |