Vision-Based Guidance for Tracking Dynamic Objects

• URL: http://arxiv.org/abs/2104.09301v1
• Date: Mon, 19 Apr 2021 13:45:56 GMT
• Title: Vision-Based Guidance for Tracking Dynamic Objects
• Authors: Pritam Karmokar, Kashish Dhal, William J. Beksi, Animesh Chakravarthy
• Abstract summary: We present a 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.
• Score: 3.7590550630861443
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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