Pulidindi Ramakanth
Papers
1
Total Citations
6
H-Index
1
About
Pulidindi Ramakanth is a researcher in autonomous vehicle systems, with a focus on computer vision and intelligent transportation. His work addresses a critical challenge in automated highway systems: ensuring reliable vehicle guidance when stereoscopic vision fails. His most cited paper, "Vision Based Intelligent Vehicle Steering Control Using Single Camera for Automated Highway System" (2018, 6 citations), proposes a robust algorithm for lane marking detection using a single camera, offering a fail-safe solution for autonomous steering control. This contribution is particularly valuable for enhancing the safety and redundancy of self-driving vehicles, as it enables continued navigation even when one camera in a stereo setup malfunctions. By developing a monocular vision-based approach, Ramakanth provides a practical alternative to more complex and failure-prone stereoscopic systems. His research sits at the intersection of computer vision, control systems, and automotive engineering, aiming to make autonomous driving more reliable and accessible. While his citation count is modest, his work represents a targeted and practical contribution to the field of intelligent vehicle control, with potential applications in real-world automated highway systems.
Research Focus
Key Achievements
Top Papers
- 1