Abdelhakim Khouas

About

Abdelhakim Khouas is a researcher specializing in embedded systems, computer vision, and real-time hardware implementation, with a particular focus on stereo vision and obstacle detection technologies for intelligent transportation and robotics applications. His most significant contribution lies in the design and implementation of real-time obstacle detection systems using stereovision on Field Programmable Gate Arrays (FPGAs), a field where he has helped bridge the gap between high computational demand and practical deployment constraints. His 2012 paper on FPGA-based obstacle detection, which has garnered 11 citations, demonstrated the feasibility of consolidating complex stereovision processing onto a single FPGA chip — a milestone for Advanced Driver Assistance Systems (ADAS). Building on this, Khouas advanced the field further by developing reusable Intellectual Property (IP) modules encapsulating multiple stereo vision algorithms, enabling more flexible and scalable system designs. His more recent work explores heterogeneous multicore platforms as cost-effective alternatives for achieving real-time performance, reflecting an awareness of evolving hardware landscapes. Through his research, Khouas has made meaningful contributions to making intelligent vision systems more accessible, efficient, and deployable in real-world autonomous and assisted navigation contexts.

Research Focus

Key Achievements

Top Papers

1. 1
   FPGA design of a real-time obstacle detection system using stereovision

   11 citations · 2012
2. 2
   Stereo vision IP design for FPGA implementation of obstacle detection system

   2 citations · 2013
3. 3
   Implementation of a real‐time stereo vision algorithm on a cost‐effective heterogeneous multicore platform

   2 citations · 2022

Key Collaborators

Contact & Links