Sakshi Yadav
Papers
1
Total Citations
19
H-Index
1
About
Sakshi Yadav is a robotics researcher whose work lies at the intersection of sensor fusion, autonomous navigation, and 3D perception. Her most cited paper, "Sensor Fusion of Laser & Stereo Vision Camera for Depth Estimation and Obstacle Avoidance" (2010, 19 citations), addresses a critical challenge in mobile robotics: combining the high accuracy of Laser Range Finders (LRF) with the broader, three-dimensional view of stereo vision cameras. By developing a method to fuse these complementary sensors, Yadav demonstrated how to achieve both precise depth estimation and robust obstacle avoidance, effectively bridging the gap between 2D mapping and 3D environmental understanding. This contribution is particularly valuable for autonomous mobile robots operating in complex, unstructured environments. While her citation count reflects a focused, early-career impact, the technical insight of her work—leveraging the trade-off between accuracy and range—has informed subsequent research in multi-sensor integration. Yadav’s research underscores a practical, systems-level approach to robotics, offering a foundation for students and engineers working on real-world autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1