Hager, Greg2023-05-222023-05-221990-10-012007-11-18https://repository.upenn.edu/handle/20.500.14332/7701We 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.GRASPInterval-Based Techniques for Sensor Data FusionReport