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

This project builds and simulates an integrated system that runs real‑time image processing and flight‑control algorithms on one hardware board using an Asynchronous Multi‑Processor (AMP) architecture. Modern smart aerial platforms need fast computing to handle complex computer‑vision tasks while keeping the aircraft stable in real time. Single‑processor or symmetric‑multiprocessing boards often run into resource conflicts and latency problems. To avoid those issues, the design splits the work across different processor cores that run independently. One core is dedicated to high‑throughput image processing, such as detecting and tracking targets. A second core runs deterministic flight‑control laws and sensor‑fusion algorithms. The two cores talk to each other through secure shared‑memory protocols, which

keep data exchange fast and low‑latency. The provided framework gives step‑by‑step instructions for setting up the AMP environment, defining memory limits, and simulating the whole system under changing flight conditions. By sharing resources this way, the system uses hardware more efficiently, cuts down on payload weight, and makes intelligent guidance more responsive.

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