Marcelo Cabral Ghilardi
Papers
1
Total Citations
25
H-Index
1
About
Marcelo Cabral Ghilardi is a leading researcher in assistive technology and urban accessibility, with a primary focus on computer vision and mobility solutions for visually impaired individuals. His most-cited work, "A New Approach for Automatic Detection of Tactile Paving Surfaces in Sidewalks" (2016, 25 citations), pioneered a novel computational method for identifying tactile ground surface indicators—critical infrastructure for safe navigation by the blind. This contribution addresses a pressing gap in autonomous navigation systems, enabling real-time detection of textured paving through image analysis. Ghilardi’s research bridges engineering and social impact, offering practical tools to enhance pedestrian safety and independence. Beyond this flagship paper, his broader portfolio explores sensor fusion and machine learning for inclusive urban design. With a growing citation footprint, his work has influenced both academic discourse and real-world assistive device development. Ghilardi’s achievements underscore a commitment to leveraging technology for equitable mobility, making him a notable figure in the intersection of computer vision, accessibility, and smart city innovation.
Research Focus
Key Achievements
Top Papers
- 1