Application of fuzzy logic control theory combined with target tracking algorithm in unmanned aerial vehicle target tracking.

ABSTRACT: This paper aims to increase the Unmanned Aerial Vehicle's (UAV) capacity for target tracking. First, a control model based on fuzzy logic is created, which modifies the UAV's flight attitude in response to the target's motion status and changes in the surrounding environment. Then, an edge computing-based target tracking framework is created. By deploying edge devices around the UAV, the calculation of target recognition and position prediction is transferred from the central processing unit to the edge nodes. Finally, the latest Vision Transformer model is adopted for target recognition, the image is divided into uniform blocks, and then the attention mechanism is used to capture the relationship between different blocks to realize real-time image analysis. To anticipate the position, the

SUBMITTER: Li C 

PROVIDER: S-EPMC11316052 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature