Olive Ray
Papers
2
Total Citations
26
H-Index
2
About
Olive Ray is a researcher whose work lies at the intersection of robotics, computer vision, and autonomous navigation. Her primary contributions focus on enabling mobile robots to perceive and understand their environment through advanced vision-based systems. In her highly cited 2011 work on "Development of a real-life EKF based SLAM system for mobile robots employing vision sensing" (24 citations), Ray pioneered the practical implementation of Extended Kalman Filter-based Simultaneous Localization and Mapping (SLAM), demonstrating how robots could build maps of unknown environments while tracking their own position using only visual data. This work addressed critical real-world challenges in autonomous navigation. Complementing this, her research on "A two-camera-based vision system for image feature identification, feature tracking and distance measurement by a mobile robot" introduced an innovative stereo vision approach that enables robust feature selection, tracking, and 3D distance calculation through intensity difference minimization. Ray's contributions are particularly valuable for students and researchers working on low-cost, vision-only robotic systems, as her methods provide practical solutions for real-time environmental perception without relying on expensive LIDAR sensors.
Research Focus
Key Achievements
Top Papers
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- 2