Mahendra Kumar
Papers
1
Total Citations
2
H-Index
1
About
Mahendra Kumar is a researcher at the forefront of autonomous vehicle navigation, with a particular focus on overcoming the challenges of adverse environmental conditions like fog. His work centers on the intersection of field-programmable gate arrays (FPGAs) and minimal sensing, aiming to create computationally efficient systems that can navigate reliably without heavy reliance on extensive sensor arrays. His most-cited paper, "An Unveiling Navigation in Fog Ambiance by FPGA based Autonomous Vehicle with Minimal Sensing" (2019), proposes a novel approach for reference-less object detection in outdoor settings, directly addressing the critical issue of throughput in practical, real-time image processing. By advocating for a minimal sensing paradigm, Kumar’s research contributes to making autonomous driving more robust and accessible, particularly in scenarios where traditional sensors fail. With 2 citations, this foundational work highlights his early impact in a niche but vital area of robotics and embedded systems, offering a promising path toward safer, more efficient autonomous vehicles in challenging visibility conditions.
Research Focus
Key Achievements
Top Papers
- 1