Multisensory Data Fusion for Target

Abstract

In surveillance and file control, the estimation of target status (identity, lethality, and intent) is of great interest in addition to target kinematic variables (position, velocity, and acceleration). The target status estimation based on multiple sensor data fusion is investigated in this paper. The use of Bayesian inference and Dempster-Shafer's evidential reasoning approaches is presented with illustrative examples.