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.

翻译：在本文中,我们提出了一个利用基于会合锥体方法的指导法律跟踪动态物体的新愿景框架。这些指导法律使配备了单筒相机的无人驾驶航空器系统能够在传感器的视野范围内持续跟踪移动物体。我们确定并分类了用于在跟踪过程中以独家方式管理隔离事件的特征点估计器。此外,我们开发了一个开放源模拟环境,并进行了一系列模拟,以显示我们方法的有效性。