Hajira Saleem
Papers
2
Total Citations
4
H-Index
2
About
Dr. Hajira Saleem is a rising researcher at the intersection of robotics and computer vision, with a focused expertise in visual odometry and low-light image enhancement. Her work addresses the critical challenge of enabling autonomous systems to navigate with precision under adverse conditions. In her 2024 study, Dr. Saleem rigorously tested the real-time performance of a monocular visual odometry method for wheeled robots, providing a benchmark for efficiency and accuracy in motion estimation. Building on this, her 2025 research introduces a lightweight, low-light image enhancement model specifically designed to improve feature visibility for RGB cameras in autonomous vehicles. This work is pivotal for overcoming the performance degradation caused by poor illumination, a common hurdle in real-world deployment. Though early in her career, her contributions have already garnered attention, with each of her most-cited papers accumulating 2 citations, signaling growing interest from the robotics community. Dr. Saleem’s dedication to practical, computationally efficient solutions positions her as a promising voice in advancing robust, real-world autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2