Pranjal Mahajan
Papers
1
Total Citations
15
H-Index
1
About
Pranjal Mahajan is a researcher at the forefront of hardware-accelerated sensing systems, with a primary focus on real-time object detection, range estimation, and Advanced Driver Assistance Systems (ADAS). His most-cited work, "Design and Implementation of FPGA based System for Object Detection and Range Estimation used in ADAS Applications utilizing FMCW Radar" (2024, 15 citations), introduces a novel hardware architecture that leverages Frequency-Modulated Continuous Wave (FMCW) millimeter-wave radar signals. By offloading computationally intensive signal processing to FPGAs, Mahajan’s system achieves the low-latency, high-throughput performance essential for autonomous driving and robotics. This contribution bridges the gap between theoretical radar algorithms and practical, deployable hardware, demonstrating a clear impact in the rapidly evolving field of intelligent transportation. His work not only advances real-time environmental perception but also provides a scalable framework for future ADAS and robotic applications, marking him as a promising innovator in embedded systems and autonomous sensing.
Research Focus
Key Achievements
Top Papers
- 1