Jamin Naghmouchi
Papers
1
Total Citations
16
H-Index
1
About
Jamin Naghmouchi is a researcher whose work sits at the intersection of embedded systems, computer vision, and hardware acceleration. His primary focus is on enabling real-time, high-performance 3D vision within the tight power and resource constraints of embedded platforms—a critical challenge for autonomous systems like humanoid robots. His most-cited paper, "Real-time smart stereo camera based on FPGA-SoC" (2017, 16 citations), exemplifies this contribution. In this work, Naghmouchi addresses the immense computational demands of stereo image processing by leveraging FPGA-SoC technology for hardware acceleration. This approach allows complex 3D vision algorithms to run in real time on embedded devices, a key enabler for robots that must navigate and interact with their environment autonomously. By demonstrating that high-performance stereo vision is achievable on compact, low-power hardware, his research provides a practical pathway for integrating sophisticated perception into mobile and humanoid robotics. Naghmouchi’s work is a valuable reference for engineers and researchers developing embedded vision systems where speed, efficiency, and accuracy are non-negotiable.
Research Focus
Key Achievements
Top Papers
- 1Real-time smart stereo camera based on FPGA-SoC16 citations · 2017