Qusay Alrousan

Papers

Total Citations

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About

Qusay Alrousan is a researcher focused on the intersection of robotics, autonomous systems, and rapid prototyping for advanced driver assistance systems (ADAS) and autonomous driving (AD). His most cited work, "Autonomous Driving Development Rapid Prototyping Using ROS and Simulink" (2019, 5 citations), introduces a practical framework that integrates the Robot Operating System (ROS) with Simulink to accelerate the development and testing of autonomous driving algorithms. This contribution addresses a critical bottleneck in the field—bridging simulation and real-world deployment—by enabling engineers to quickly iterate on perception, planning, and control modules. Alrousan’s research emphasizes modular, scalable solutions that lower the barrier to entry for autonomous vehicle prototyping, making his work valuable for both academic researchers and industry practitioners. His approach has been recognized for its potential to streamline the transition from concept to validated system, particularly in the context of rapidly evolving sensor and control technologies. With a growing citation footprint, Alrousan continues to contribute to the practical advancement of autonomous driving systems, offering tools and methodologies that support safer, more efficient vehicle automation.