Garapati Harshitha
Papers
1
Total Citations
3
H-Index
1
About
Garapati Harshitha is a rising researcher in computer vision and autonomous systems, with a focused interest in enhancing object detection under challenging environmental conditions. Her most-cited work, "Enhancing Object Detection Robustness In Adverse Weather Conditions" (2025), addresses a critical bottleneck in real-world AI deployment: the degradation of detection accuracy in rain, haze, and other adverse weather. By developing novel techniques to improve robustness, Harshitha’s research directly impacts safety-critical applications in autonomous driving, robotics, and surveillance, where reliable recognition of vehicles, pedestrians, and infrastructure is paramount. With 3 citations already, this early-career contribution signals growing recognition of her work’s practical significance. Her achievements underscore a commitment to bridging the gap between laboratory-trained models and real-world operational challenges, making her a promising voice in the field of robust perception systems.
Research Focus
Key Achievements
Top Papers
- 1Enhancing Object Detection Robustness In Adverse Weather Conditions3 citations · 2025