Sagar Dalai
Papers
5
Total Citations
38
H-Index
4
About
Sagar Dalai is a leading researcher in autonomous robotics, specializing in multi-sensor fusion for robust Unmanned Aerial Vehicle (UAV) state estimation. His work addresses the critical challenge of enabling safe, reliable autonomous flight in GPS-denied and challenging environments. Dalai’s major contributions include the development of LGVINS, a LiDAR-GPS-Visual and Inertial System that achieves smooth state estimation, and the LSAF-LSTM framework, a self-adaptive deep learning approach that intelligently fuses sensor data for enhanced robustness. These innovations have garnered significant attention, with his top papers accumulating over 30 citations collectively. Notably, his research on cooperative robotic path planning, integrating UAVs and Unmanned Surface Vehicles (USVs) for comprehensive bridge inspection using LiDAR, demonstrates a practical application of his work in infrastructure monitoring. Dalai’s investigations into efficient path planning under high wind scenarios further underscore his commitment to real-world deployment. His pioneering efforts are shaping the future of autonomous navigation, with direct implications for robot navigation, autonomous driving, and augmented reality.
Research Focus
Key Achievements
Top Papers
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- 3Multi-Sensor Fusion for Efficient and Robust UAV State Estimation7 citations · 2024
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