Carlos Ferreira
Papers
2
Total Citations
9
H-Index
2
About
Carlos Ferreira is a leading researcher in spatial computing, with a focus on mixed reality (MR) collaboration and 3D sensing technologies. His early work critically advanced indoor localization, notably through his highly cited paper "Evaluating and Enhancing Google Tango Localization in Indoor Environments Using Fiducial Markers" (2018, 6 citations), which improved the accuracy of sensor-fusion systems by integrating visual markers. This foundational contribution helped shape modern augmented reality (AR) navigation and spatial mapping. More recently, Ferreira has pioneered the study of remote assistance in MR, as demonstrated in his 2025 paper "Mixed Reality Collaboration: How Expert Representations Shape User Experiences" (3 citations). Here, he investigates how expert visual cues—such as annotations and avatars—affect task performance and user engagement, offering critical insights for designing more intuitive collaborative MR systems. His work bridges technical optimization and human-computer interaction, making him a key figure in the evolution of immersive, real-time collaboration tools. Ferreira’s research is essential reading for students and engineers working at the intersection of computer vision, human factors, and next-generation communication technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2