S. Shruthi
Papers
1
Total Citations
2
H-Index
1
About
S. Shruthi is a researcher specializing in automation and intelligent transportation systems, with a focus on integrating image processing and sensor technologies for autonomous navigation. Her most-cited work, "Comparative analysis of image processing techniques for obstacle avoidance and path deduction" (2021, 2 citations), evaluates methods for enabling unmanned ground vehicles, assistive wheelchairs, and domestic robots to detect obstacles and deduce safe paths in real time. This contribution addresses critical challenges in automating transportation and mobility aids, particularly for military and disability applications. Her research bridges computer vision and robotics, offering practical insights into algorithm selection for reliable navigation. Though early in her career, Shruthi’s work underscores the growing demand for automation in daily life, and her comparative analysis provides a foundational reference for developers of autonomous systems. Her efforts highlight the potential of image processing to enhance safety and accessibility in vehicular and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1