Sandipan Das
Papers
1
Total Citations
141
H-Index
1
About
Sandipan Das is a leading researcher in robotics and autonomous systems, specializing in multi-modal sensor fusion, state estimation, and real-time odometry. His most impactful work introduces a unified multi-modal landmark tracking framework for tightly coupled lidar-visual-inertial odometry, which jointly optimizes visual, lidar, and inertial data within a single integrated factor graph. This breakthrough enables mobile platforms to achieve robust, real-time localization at full framerate using fixed lag smoothing, a significant advancement over traditional loosely coupled approaches. With 141 citations, this paper has become a foundational reference for researchers developing high-precision navigation systems for autonomous vehicles and drones. Das’s contributions are particularly notable for their practical efficiency, allowing complex sensor integration without compromising computational speed. His work bridges the gap between theoretical optimization and real-world deployment, making him a key figure in advancing the reliability of autonomous navigation in challenging environments.
Research Focus
Key Achievements
Top Papers
- 1