Thrilochan Sharma P.
Papers
1
Total Citations
8
H-Index
1
About
Thrilochan Sharma P. is a researcher focused on advancing autonomous navigation, particularly for unmanned ground vehicles. His work centers on the critical challenge of Simultaneous Localization and Mapping (SLAM), where he analyzes the computational demands of 2D-SLAM algorithms to enable more efficient and practical deployment in driverless cars. His most cited paper, "Analysis of Computational Need of 2D-SLAM Algorithms for Unmanned Ground Vehicle" (2020, 8 citations), addresses the vital need for safer autonomous vehicles by optimizing the balance between algorithmic accuracy and real-time processing power. This contribution helps bridge the gap between theoretical SLAM research and real-world automotive applications, supporting the growing market penetration of autonomous driving technologies. Thrilochan’s work is particularly valuable for students and engineers seeking to understand the practical constraints of deploying SLAM systems in resource-limited embedded platforms, making him a notable voice in the evolution of cost-effective, reliable autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1