Maria Dolores Lopez-Correa
Papers
1
Total Citations
2
H-Index
1
About
Maria Dolores Lopez-Correa is a researcher whose work bridges computer vision and autonomous robotics, with a particular focus on visual localization in structured environments. Her most cited study, "Perspective Reconstruction by Determining Vanishing Points for Autonomous Mobile Robot Visual Localization on Supermarkets" (2017), introduces a novel method for enabling robots to navigate retail spaces by extracting geometric cues from vanishing points. This contribution addresses a critical challenge in mobile robotics: robust self-localization in cluttered, human-centric settings like supermarkets. While her citation count remains modest—with the paper accruing 2 citations—the work demonstrates a practical, application-driven approach to real-world robot navigation. Lopez-Correa’s research underscores the importance of leveraging perspective geometry for low-cost, vision-based autonomy, offering a foundation for future developments in service robotics. Her focus on vanishing point detection as a localization tool highlights a creative synthesis of classical computer vision techniques with modern autonomous systems, making her work a valuable reference for students and engineers exploring visual SLAM and indoor robot navigation.
Research Focus
Key Achievements
Top Papers
- 1