P. Sankalprajan
Papers
2
Total Citations
32
H-Index
2
About
P. Sankalprajan is a researcher focused on advancing autonomous navigation, with a particular emphasis on Simultaneous Localization and Mapping (SLAM) for ground vehicles. Their work centers on the critical challenge of enabling robots and driverless cars to perceive unknown environments and move autonomously. Sankalprajan’s major contributions include a comparative analysis of ROS-based 2D and 3D SLAM algorithms, a study that has garnered 24 citations for its practical insights into algorithm selection for autonomous ground vehicles. This work is complemented by an analysis of the computational needs of 2D-SLAM algorithms, which addresses the vital balance between performance and resource efficiency in unmanned systems. Together, these studies highlight Sankalprajan’s role in bridging theoretical SLAM techniques with real-world deployment considerations, a key step toward safer and more reliable autonomous driving. Their research is particularly relevant as the automotive industry pushes for greater market penetration of driverless cars, underscoring the importance of robust mapping and localization. Sankalprajan’s work serves as a valuable resource for students and engineers seeking to understand the trade-offs in SLAM algorithm implementation.
Research Focus
Key Achievements
Top Papers
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