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https://hku.zoom.us/j/97837967715?pwd=dam4MZt8SyqQBYvhKtuH7b0imUvzZj.1

Meeting ID: 978 3796 7715

Password: 919879

Abstract:

At present, unmanned aerial vehicles are playing an increasingly important role in modern combat scenarios. Target tracking, as an important research and application direction of unmanned aerial vehicles, has attracted wide attention in many scenarios. In the actual tracking scenario, the unmanned aerial vehicle needs to track multi-target, and complete the state estimation of multi-target while estimating the number of multi-target, which is very challenging. Because there are many kinds of interference in the environment, the detection accuracy of some sensors is affected, and the tracking accuracy of distributed multi-target tracking algorithm is decreased, and even the algorithm is invalid. In addition, the communication frequency and bandwidth are limited, which put forward higher requirements for distributed target tracking algorithms. We will introduce local target tracking algorithm, fault sensor detection algorithm and distributed fusion algorithm to improve the robustness of distributed multi-target tracking algorithm to solve the problem of random sensor temporary failure (detection accuracy decline) and random observation loss. To solve the problem of limited communication frequency and bandwidth, an adaptive event trigger based reduced bandwidth communication strategy is designed to improve the robustness of distributed multi-target tracking algorithm.

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