Franciso Simoes
Papers
1
Total Citations
5
H-Index
1
About
Francisco Simoes is a researcher whose work lies at the intersection of robotics, computer vision, and augmented reality (AR), with a particular focus on real-time tracking and mapping systems. His most cited paper, "Life Cycle of a SLAM System: Implementation, Evaluation and Port to the Project Tango Device" (2016), provides a comprehensive, end-to-end analysis of Simultaneous Localization and Mapping (SLAM) technology—a cornerstone of modern robotics and AR. In this work, Simoes not only evaluates the performance of a complete SLAM pipeline but also demonstrates its practical deployment on Google’s Project Tango device, bridging the gap between theoretical algorithms and real-world hardware. This contribution is especially valuable for students and engineers seeking to understand how SLAM systems transition from research to commercial AR applications. While his citation count (5) reflects a focused, early-career impact, the paper’s applied nature and clear methodology make it a useful reference for those entering the field of spatial computing. Simoes’ work underscores the importance of system-level thinking in developing robust tracking solutions for emerging technologies.
Research Focus
Key Achievements
Top Papers
- 1