Berlian Rahmy Lidiawaty
Papers
1
Total Citations
3
H-Index
1
About
Berlian Rahmy Lidiawaty is a researcher in computer vision and robotics, with a focus on autonomous navigation and visual mapping systems. Her work addresses critical challenges in mobile robot localization, particularly for rescue and surveillance applications where uneven terrain causes wheel slippage and degrades traditional odometry-based navigation. In her most cited paper, she proposed a novel approach using a monocular camera and the SURF (Speeded Up Robust Features) algorithm to build robust navigation systems and path maps without relying solely on wheel encoders. This method enables devices to maintain accurate positioning even on irregular surfaces, enhancing their reliability in real-world deployment. With 3 citations, her research contributes to the growing field of vision-based autonomous systems, offering practical solutions for robots operating in unstructured environments. Her work demonstrates a commitment to advancing computer vision techniques for practical robotic applications, particularly in challenging scenarios where conventional navigation methods fall short.
Research Focus
Key Achievements
Top Papers
- 1