Jihed Ouni
Papers
1
Total Citations
7
H-Index
1
About
Jihed Ouni is a researcher whose work sits at the intersection of artificial neural networks, control systems, and robotics, with a particular focus on autonomous navigation. His most-cited paper, "Implementations approches of neural networks lane following system" (2012, 7 citations), explores the use of neural networks for lane-following in autonomous vehicles. This work highlights his interest in leveraging the rapid processing, learning capabilities, and robustness of neural approaches to solve real-world control challenges. Ouni’s contributions are notable for their practical orientation, aiming to bridge the gap between theoretical neural network models and their implementation in dynamic environments like road navigation. While his citation count is modest, his research addresses a foundational problem in autonomous driving—lane keeping—which remains a critical area of study. His work serves as an early exploration into how adaptive, learning-based systems can enhance vehicle autonomy, offering insights relevant to students and researchers interested in the intersection of AI, robotics, and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1Implementations approches of neural networks lane following system7 citations · 2012