Leonardo Ferreira da Costa

Universidade Estadual do Ceará, Cognizant (United States), Universidade Federal do Ceará

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About

Leonardo Ferreira da Costa is a researcher advancing the frontiers of multi-robot perception and sensor fusion, with a focus on cooperative observation and autonomous surveillance. His work addresses critical challenges in monitoring moving targets within complex, often adversarial environments. A key contribution is the development of a novel sensor fusion architecture that integrates data from a network of 122 GHz FMCW radar, a 100 GHz imaging camera, and Infra-Red sensors, enabling robust detection and localization in robotized settings. This experimental study, published in 2023, demonstrates the power of combining disparate sensing modalities for enhanced environmental awareness. Additionally, his research on the Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) extends this problem into three-dimensional urban traffic scenarios using UAVs, tackling the complexities of monitoring malicious targets under limited sensor range. With his most-cited works accumulating citations, including a 2020 paper on cooperative observation of smart agents, da Costa is building a foundation for next-generation autonomous systems that can reliably perceive and track objects in dynamic, real-world conditions.