Integrated Design of Image Processing and Flight Control Based on AMP Architecture

The ongoing development of intelligent ammunition has resulted in an expansion of the functions that such ammunition must perform, thereby increasing the demand for internal computing capabilities in both scale and complexity. In light of the diverse functional requirements, traditional single-processor architectures are inadequate to address the needs of these varied and complex tasks. Consequently, this article presents an integrated image processing and flight control technology based on an Asynchronous Multi-Processor (AMP) architecture. This approach consolidates two tasks with distinct requirements into a single module, effectively addressing the challenges associated with information exchange between tasks. The feasibility of this method has been validated through simulation testing.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/eit63098.2024.10762712
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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article

Integrated Design of Image Processing and Flight Control Based on AMP Architecture

Yike Wang, Songkun Yan, Xu Zhuo, Tengfei Ma
Advanced Measurement and Detection Methods
article

Integrated Design of Image Processing and Flight Control Based on AMP Architecture

Yike Wang, Songkun Yan, Xu Zhuo, Tengfei Ma
article en

Abstract

The ongoing development of intelligent ammunition has resulted in an expansion of the functions that such ammunition must perform, thereby increasing the demand for internal computing capabilities in both scale and complexity. In light of the diverse functional requirements, traditional single-processor architectures are inadequate to address the needs of these varied and complex tasks. Consequently, this article presents an integrated image processing and flight control technology based on an Asynchronous Multi-Processor (AMP) architecture. This approach consolidates two tasks with distinct requirements into a single module, effectively addressing the challenges associated with information exchange between tasks. The feasibility of this method has been validated through simulation testing.

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Advanced Measurement and Detection Methods
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