Kavitha Muthukrishnan

Control Systems Research (United States), Delft University of Technology

Papers

Total Citations

H-Index

About

Kavitha Muthukrishnan’s research lies at the intersection of multimodal localisation, sensor networks, and computer vision, with a focus on developing robust systems for spatial awareness and pose estimation. Her foundational work, “Multimodal localisation: analysis, algorithms and experimental evaluation” (2009, 9 citations), systematically explores how combining diverse sensing modalities—such as wireless signals and visual data—can enhance accuracy in determining position and orientation, a critical challenge for autonomous systems and augmented reality. Building on this, her paper “Pose estimation with radio-controlled visual markers” (2010, 4 citations) introduces an innovative inside-out tracking system that leverages LED sightings from wireless sensor nodes (WSN) to estimate camera pose without external infrastructure. This work demonstrates a practical fusion of radio-frequency and visual cues, offering a scalable solution for robotics and immersive environments. While her citation counts reflect a focused, early-career impact, Muthukrishnan’s contributions are notable for their interdisciplinary approach, bridging theoretical algorithms with real-world experimental validation. Her research provides a foundation for modern localisation techniques, inspiring further exploration into cost-effective, marker-based tracking systems that operate in dynamic, unconstrained settings.