Abstract: Provided is a method of determining task scheduling probability. More specifically, the method includes establishing a set of task attributes. A database of prior task vectors in accordance with the set of task attributes then also provided, wherein each prior task vector representing a prior scheduled task. A new task is received having at least a subset of the task attributes. For this new task, a new task vector is generated based on the new task attributes. The new task vector is compared with the prior task vectors and the differences are recorded. The probability of successful scheduling is then evaluated based on the aggregate differences for each attribute. A system operable to perform the method is also provided.

Abstract: Provided is a system and method for route planning and evaluation. The system includes a host object location device operable to provide the location of a host object over the passage of time. A sensor is also provided, operable to sense objects and data from an environment proximate to the host object. A computer is operatively coupled to the location device, the sensor device, a chart library and a display. The computer includes a route generator operable to generate a predicted route of at least one sensed object. The route generator is also operable to generate a planned route of the host object. The planned and predicted routes are displayed to an operator upon the display. In response to a predicted proximate convergence of the host object and at least one sensed object, the convergence signaled to the operator.

Abstract: A method, apparatus and computer program product for parallel speculative rendering of synthetic images in an image rendering system are presented. The operations include obtaining measurements regarding scene characteristics. The measurements are provided to predictors, each predicting a future state for a measurement. The future states are provided to a renderer that renders graphical entities, each rendering resulting from a different predicted future state. Subsequently, a new set of measurements is obtained regarding the scene characteristics. Then each measurement of the new set of measurements is compared with a corresponding one of the predicted future states produced by the predictors. The predicted future state that most closely matches with the new measurements is then selected. Then, the graphical entities associated with the predicted future state that most closely match with the new measurements are selected. The selected graphical entities displayed on a display device.

Abstract: Provided is a system and method for route planning and evaluation. The system includes a host object location device operable to provide the location of a host object over the passage of time. A sensor is also provided, operable to sense objects and data from an environment proximate to the host object. A computer is operatively coupled to the location device, the sensor device, a chart library and a display. The computer includes a route generator operable to generate a predicted route of at least one sensed object. The route generator is also operable to generate a planned route of the host object. The planned and predicted routes are displayed to an operator upon the display. In response to a predicted proximate convergence of the host object and at least one sensed object, the convergence signaled to the operator.

Abstract: A computer product and computer product for parallel speculative rendering of synthetic images in an image rendering system are presented. The operations include obtaining measurements regarding scene characteristics. The measurements are provided to predictors, each predicting a future state for a measurement. The future states are provided to a renderer that renders graphical entities, each rendering resulting from a different predicted future state. Subsequently, a new set of measurements is obtained regarding the scene characteristics. Then each measurement of the new set of measurements is compared with a corresponding one of the predicted future states produced by the predictors. The predicted future state that most closely matches with the new measurements is then selected. Then, the graphical entities associated with the predicted future state that most closely match with the new measurements are selected. The selected graphical entities displayed on a display device.