Percorrer por autor "AMARAL, GUILHERME NOVO DO"
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- Multi-sensor data fusion for maritime surveillancePublication . AMARAL, GUILHERME NOVO DO; Fidalgo, André Vaz da Silva; Roque, Miguel AugustoThis thesis focuses on the study and development of an algorithm for multi-sensor data fusion from unrelated sources such as satellite imagery, open sources, and radar/sonar detections, which can be incorporated into existing Critical Software projects in the area of naval defense and security. The main objective is to evaluate different data fusion models and implement an algorithm that can perform the fusion, taking into account the quality of the generated result and its computational complexity. The work also analyzes the feasibility of real-time execution of the method, proposing solutions for this purpose. It is therefore essential to create an optimized and efficient implementation that minimizes the complexity of necessary calculations, cache misses, and memory accesses, while utilizing parallel processing based on multiple CPUs or even GPUs. The implementation will focus on developing robust methods for combining heterogeneous sensor data while maintaining high accuracy and performance standards required for naval defense applications.