N. Padmavathy
Papers
1
Total Citations
2
H-Index
1
About
N. Padmavathy is a researcher focused on advancing autonomous driving systems through intelligent traffic sign recognition and vehicle control mechanisms. Her most cited work, "An Automatic Vehicle Speed Controlling based on Traffic Signs Recognition using Convolutional Neural Network" (2023), addresses a critical challenge in real-time autonomous navigation: enabling vehicles to accurately interpret traffic signs and adjust speed accordingly. By applying convolutional neural networks (CNNs), she contributes to the development of robust algorithms that enhance safety and compliance in self-driving environments. This paper, with 2 citations, highlights her early but impactful work in integrating deep learning with vehicular control systems. Padmavathy’s research sits at the intersection of computer vision, embedded systems, and transportation engineering, offering practical solutions for real-world autonomous driving constraints. Her contributions are particularly relevant for students and researchers exploring CNN-based perception systems, traffic sign detection, and adaptive speed control—key components for the next generation of intelligent transportation. As the field rapidly evolves, her work provides a foundational step toward more reliable and context-aware autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1