Hasrul' Nisyam Rosly
Papers
1
Total Citations
13
H-Index
1
About
Hasrul' Nisyam Rosly is a robotics researcher whose work focuses on stereo vision systems for autonomous mobile robot navigation. His most cited paper, "Depth evaluation in selected region of disparity mapping for navigation of stereo vision mobile robot" (2010, 13 citations), addresses a fundamental challenge in robotics: how to efficiently extract depth information from visual input. Rosly's contribution lies in developing a targeted approach to disparity mapping using block matching algorithms, where depth evaluation is performed only on a selected reference region of the stereo camera's field of view. This method reduces computational load while maintaining navigation accuracy—a practical insight for real-time robotic systems. Though his citation count is modest, his work represents an important step in making stereo vision more computationally efficient for mobile robots operating in constrained environments. For students and researchers exploring computer vision or autonomous systems, Rosly's research demonstrates how focused algorithmic choices can bridge the gap between theoretical vision techniques and practical robotic applications.
Research Focus
Key Achievements
Top Papers
- 1