S. K. Majumder
Papers
1
Total Citations
6
H-Index
1
About
Dr. S. K. Majumder is a researcher specializing in autonomous aerial robotics, computer vision, and real-time obstacle detection for unmanned systems. His most-cited work, "Obstacle size and proximity detection using stereo images for agile aerial robots" (2015), addresses a critical challenge in autonomous flight: providing accurate, real-time obstacle information without relying on expensive, power-intensive sensors like LiDAR or SAR. By developing a stereo vision-based technique, Majumder enables agile aerial robots to detect obstacle size and proximity in adverse environments at a fraction of the cost and power consumption. This contribution is particularly valuable for applications in search-and-rescue, surveillance, and exploration where operational efficiency is paramount. With 6 citations, his work has influenced subsequent research in low-cost perception systems for drones. Majumder’s focus on practical, deployable solutions bridges the gap between high-performance autonomy and real-world constraints, making his research a foundational reference for engineers and students developing next-generation aerial robots. His approach exemplifies how computer vision can replace expensive hardware, advancing the field toward more accessible and robust autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1