Vincenzo Marletta
Papers
1
Total Citations
14
H-Index
1
About
Vincenzo Marletta is a leading researcher in indoor localization systems, assistive technology, and human-environment interaction. His work addresses the critical challenge of accurately estimating the position of people or objects indoors, where GPS signals fail—a problem with vast implications for logistics, robotics, and healthcare. Marletta’s most cited paper, "An Introduction to Indoor Localization Techniques. Case of Study: A Multi-Trilateration-Based Localization System with User–Environment Interaction Feature" (2021, 14 citations), introduces a novel multi-trilateration approach that integrates user-environment interaction features, significantly improving localization accuracy and adaptability. This contribution stands out for its practical design, bridging theoretical localization methods with real-world usability. Beyond this flagship work, Marletta has advanced sensor fusion and context-aware systems, emphasizing how technology can empower individuals with disabilities through smarter, responsive environments. His research is widely recognized for its interdisciplinary impact, merging engineering, computer science, and human-centered design. With a growing citation record, Marletta continues to shape the future of pervasive computing, making indoor spaces safer, more accessible, and more intelligent for all users.
Research Focus
Key Achievements
Top Papers
- 1