Anirudh Viswanathan
Papers
2
Total Citations
107
H-Index
2
About
Dr. Anirudh Viswanathan is a leading researcher in robotics and computer vision, specializing in GPS-denied navigation and visual localization. His work addresses the critical challenge of enabling unmanned ground vehicles (UGVs) to operate autonomously in remote, unstructured environments where satellite signals are unavailable. Dr. Viswanathan’s major contributions center on developing robust algorithms for matching ground-level imagery to satellite or aerial maps, a technique that allows robots to determine their position without relying on GPS. His most influential work, "Vision based robot localization by ground to satellite matching in GPS-denied situations" (2014), has garnered 79 citations and laid the foundation for cross-view geolocalization. He further advanced the field with "Vision-based robot localization across seasons and in remote locations" (2016, 28 citations), tackling the particularly difficult problem of seasonal variation—where a robot must navigate using a map from a different time of year. By addressing both extreme environmental change and the lack of man-made landmarks, Dr. Viswanathan’s research has significantly improved the reliability of autonomous navigation for applications in exploration, agriculture, and defense. His work remains essential reading for researchers developing resilient, vision-based localization systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Vision-based robot localization across seasons and in remote locations28 citations · 2016