  In this paper, we present a novel vision-based framework for tracking dynamic
objects using guidance laws based on a rendezvous cone approach. These guidance
laws enable an unmanned aircraft system equipped with a monocular camera to
continuously follow a moving object within the sensor's field of view. We
identify and classify feature point estimators for managing the occurrence of
occlusions during the tracking process in an exclusive manner. Furthermore, we
develop an open-source simulation environment and perform a series of
simulations to show the efficacy of our methods.
