Apurva Kumari
Papers
2
Total Citations
6
H-Index
2
About
Apurva Kumari is an emerging researcher at the forefront of intelligent systems and autonomous navigation, with a primary focus on assistive robotics and real-time traffic control. Her work addresses critical challenges in two key areas: enhancing mobility for the elderly and disabled through advanced door detection systems, and improving road safety via automatic vehicle speed regulation. In her highly cited 2022 paper, Kumari introduced an inventive method for door detection on FPGA using the Sobel edge algorithm, a breakthrough that enables robots to reliably identify doors in assistive environments—a vital capability for senior care and physical rehabilitation technologies. Her 2023 contribution further demonstrates her impact, developing a convolutional neural network-based system for automatic vehicle speed control through traffic sign recognition, tackling one of autonomous driving’s most demanding constraints. Though early in her career, Kumari’s work has already garnered citations reflecting its practical significance, and her FPGA-based approach offers a low-power, real-time solution for embedded systems. By bridging hardware acceleration with deep learning, she is paving the way for safer, more accessible autonomous technologies that directly improve quality of life.
Research Focus
Key Achievements
Top Papers
- 1A Inventive Method for Door Detection on FPGA Using Sobel Edge Algorithm4 citations · 2022
- 2