Interval-Based Techniques for Sensor Data Fusion

We view the problem of sensor-based decision-making in terms of two components: a sensor fusion component that isolates a set of models consistent with observed data, and an evaluation component that uses this information and task-related information to make model-based decisions. This paper describes a procedure for computing the solution set of parametric equations describing a sensor-object imaging relationship. Given a parametric form with s parameters, we show that this procedure can be implemented using a parallel array of 6s2 processors. We then describe an application of these techniques which demonstrates the use of task-related information and set-based decision-making methods.