Bayesian Fusion of Unlabeled Vision and RF Data for Aerial Tracking of Ground Targets
Ramya Kanlapuli Rajasekaran,Nisar Ahmed,Eric Frew,Ramya Kanlapuli Rajasekaran,Nisar Ahmed,Eric Frew
This paper presents a method for target localization and tracking in clutter using Bayesian fusion of vision and Radio Frequency (RF) sensors used aboard a small Unmanned Aircraft System (sUAS). Sensor fusion is used to ensure tracking robustness and reliability in case of camera occlusion or RF signal interference. Camera data is processed using an off-the-shelf algorithm that detects possible ob...
