Ilias Ouachtouk
Papers
1
Total Citations
3
H-Index
1
About
Ilias Ouachtouk is a researcher at the forefront of autonomous vehicle navigation and control systems, with a focus on developing robust, real-world solutions for self-driving technologies. His work centers on the critical challenge of path tracking—ensuring that autonomous vehicles follow planned trajectories safely and efficiently. In his most cited study, a comparative analysis of PID, Pure-Pursuit, and Stanley control strategies, Ouachtouk provides a systematic evaluation of these algorithms within the CARLA simulation environment, offering practical insights into their performance trade-offs. This work has already garnered attention, accumulating 3 citations shortly after its 2025 publication, signaling its relevance to the robotics and autonomous systems community. By bridging simulation-based testing with real-world applicability, Ouachtouk contributes to the foundational knowledge required for advancing vehicle autonomy. His research not only aids engineers in selecting optimal control strategies but also supports the broader goal of making autonomous driving safer and more reliable, marking him as an emerging voice in the field of intelligent transportation systems.
Research Focus
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Top Papers
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