Hamidur Rahman
Papers
1
Total Citations
2
H-Index
1
About
Hamidur Rahman is a researcher focused on assistive technology and computer vision, with a particular emphasis on improving mobility and independence for individuals with visual impairments. His work centers on developing intelligent, vision-based navigation systems that leverage machine learning to address real-world challenges. His most cited paper, "A Vision-based Indoor Navigation System for Individuals with Visual Impairment" (2019), proposes a portable system that uses machine learning algorithms for obstacle avoidance and orientation support in complex indoor environments. This contribution directly addresses the critical need for accessible, non-invasive assistive tools, offering a practical solution for daily activities. While his citation count is currently modest, his research represents a meaningful step toward integrating AI with human-centered design. Rahman’s work is particularly notable for its focus on real-time, portable systems that prioritize user autonomy and safety, making him a promising voice in the growing field of assistive robotics and inclusive technology.
Research Focus
Key Achievements
Top Papers
- 1