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Vision-Based Guidance for Tracking Multiple Dynamic Objects
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DOI：10.1007/s10846-022-01657-6.png)
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摘要
En 中文
In this paper, we introduce a novel vision-based framework for tracking multiple active objects using guidance laws based on a rendezvous cone method. These guidance laws enable an unmanned aircraft system, equipped with a monocular camera, to continuously observe a set of moving objects within the field of view of its sensor. During the multi-object tracking process, we detect and categorize feature point estimators for controlling the occurrence of occlusions in a comprehensive fashion. Furthermore, we extend our open-source simulation environment and perform a series of simulations to show the efficacy of our proposed approach.
Keyword:
Autonomous systems
Unmanned aerial vehicles
Visual tracking
期刊
J
IF:
2.8
论文数:
3.9K
被引数:
6.9K
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