Raquel Alves de Oliveira
Papers
1
Total Citations
5
H-Index
1
About
Raquel Alves de Oliveira is a researcher at the forefront of photogrammetry, computer vision, and robotics, with a specialized focus on the real-time georeferencing and autonomous navigation of unmanned aerial vehicles (UAVs). Her major contribution lies in developing a novel, image-based real-time georeferencing scheme for UAVs, which addresses the challenging task of simultaneous localization and mapping (SLAM) using a monocular projective camera. By introducing a new angular parametrization, her work enables more accurate and robust pose estimation without reliance on GPS, a critical advancement for precision agriculture, infrastructure inspection, and disaster response. Her most-cited paper (2020) has garnered 5 citations, reflecting its foundational role in advancing real-time monocular SLAM solutions. Oliveira’s research bridges the gap between theoretical geometry and practical UAV deployment, offering a computationally efficient framework that enhances the autonomy and reliability of aerial platforms. Her achievements are particularly notable for their potential to transform how UAVs operate in GPS-denied environments, making her a rising voice in the integration of computer vision and robotics for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1