Suraj Mahangade
Papers
1
Total Citations
5
H-Index
1
About
Suraj Mahangade is a researcher in robotics and autonomous navigation, with a primary focus on visual simultaneous localization and mapping (vSLAM). His most-cited work, “An experimental comparison of visual SLAM systems” (2021), provides a rigorous benchmark of monocular vSLAM algorithms, evaluating their performance across diverse environments to guide practitioners in selecting robust, real-time solutions for robot localization and mapping. This contribution addresses a critical gap in the field by offering systematic, reproducible comparisons that help advance the deployment of vision-based navigation in unknown terrains. With 5 citations, this paper serves as a foundational reference for researchers developing autonomous systems. Mahangade’s work is particularly valuable for students and engineers seeking to understand the trade-offs between accuracy, computational efficiency, and robustness in monocular SLAM, making him a key contributor to the practical evolution of autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1An experimental comparison of visual SLAM systems5 citations · 2021