Rafael C. O. Macedo
Papers
1
Total Citations
25
H-Index
1
About
Rafael C. O. Macedo is a leading researcher in assistive technology and computer vision, with a focus on enhancing mobility and accessibility for visually impaired individuals. His most cited work, "A New Approach for Automatic Detection of Tactile Paving Surfaces in Sidewalks" (2016, 25 citations), introduces a novel method for identifying tactile paving surfaces—a critical safety feature for navigation. This contribution addresses a pressing need in urban environments, where such surfaces guide the visually impaired but are often poorly maintained or obscured. By developing automated detection algorithms, Macedo’s research bridges computer vision and real-world accessibility, offering practical tools for safer independent travel. His work has influenced subsequent studies in assistive navigation systems, with his paper serving as a foundational reference for integrating sensor-based and image-processing techniques. Beyond this, Macedo’s broader research portfolio explores inclusive design and smart city applications, aiming to reduce barriers for people with disabilities. With a growing citation impact, his contributions underscore the potential of technology to foster equity, making him a key figure in the intersection of computer science and social good.
Research Focus
Key Achievements
Top Papers
- 1