Sathya Narayanan Kasturi Rangan
Papers
1
Total Citations
5
H-Index
1
About
Sathya Narayanan Kasturi Rangan is a researcher in autonomous vehicle localization, focusing on how self-driving cars can determine their position with greater accuracy when GPS signals are weak or unavailable. His key contributions lie in sensor fusion and visual feature matching, where he developed methods that combine odometry data with pre-mapped visual landmarks to maintain reliable ego-state estimation. His most cited work, "Improved localization using visual features and maps for Autonomous Cars" (2018), demonstrates a practical approach requiring only the last known GPS fix, vehicle motion estimates, and a database of surrounding visual features to achieve robust localization. This work has garnered 5 citations, reflecting its relevance to the autonomous driving community. Kasturi Rangan's research addresses a critical challenge in real-world autonomous navigation—maintaining precise positioning in GPS-denied environments—making his contributions valuable for advancing the reliability of self-driving systems. His approach stands out for its efficiency, as it minimizes dependence on continuous high-accuracy GPS, offering a more scalable solution for autonomous vehicle deployment.
Research Focus
Key Achievements
Top Papers
- 1Improved localization using visual features and maps for Autonomous Cars5 citations · 2018