Maria Costa Vianna
Papers
1
Total Citations
2
H-Index
1
About
Maria Costa Vianna is a researcher in computational geometry and sensor networks, with a focus on optimizing coverage and exploration strategies for autonomous systems. Her work centers on developing mathematical models to quantify how effectively a line-sweep sensor—a type of sensor that scans a planar area along a linear path—can cover and explore unknown environments. In her most-cited paper, "Estimating the coverage measure and the area explored by a line-sweep sensor on the plane" (2024), Vianna introduces novel algorithms for estimating the proportion of a region covered by such sensors, addressing critical challenges in robotics, environmental monitoring, and surveillance. This contribution provides a rigorous framework for evaluating sensor performance, enabling more efficient path planning and resource allocation in real-world applications. Though her citation count is early in her career, her work has already garnered attention for its practical implications in autonomous navigation and spatial data collection. Vianna’s research bridges theoretical geometry with applied sensor technology, offering tools that can enhance the reliability and efficiency of robotic exploration systems. Her ongoing efforts promise to advance the field of coverage optimization, with potential impacts on disaster response, agriculture, and infrastructure inspection.
Research Focus
Key Achievements
Top Papers
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