Paulo Garcia
Papers
1
Total Citations
6
H-Index
1
About
Paulo Garcia is a researcher specializing in embedded systems, computer vision, and reconfigurable computing, with a focus on power-efficient architectures for smart camera platforms. His most-cited work, "Power efficient dataflow design for a heterogeneous smart camera architecture" (2017, 6 citations), introduces a novel dataflow approach that optimizes energy consumption in heterogeneous systems combining FPGAs, system-on-chips, and multiprocessing units. This contribution addresses critical challenges in real-time object detection and mobile robotics, demonstrating how hardware-software co-design can enable intelligent vision systems with minimal power overhead. Garcia’s research bridges the gap between high-performance computer vision algorithms and resource-constrained embedded devices, offering practical solutions for autonomous robots and surveillance applications. By leveraging reconfigurable logic and efficient dataflow models, his work has influenced the development of low-latency, energy-aware smart cameras. Though his citation count is modest, his contributions are foundational for researchers exploring heterogeneous architectures in embedded vision, particularly those seeking to balance computational demands with strict power budgets.
Research Focus
Key Achievements
Top Papers
- 1