Maziah Mohamad

Papers

Total Citations

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About

Maziah Mohamad is a researcher focused on intelligent transportation systems and vehicle safety technologies, with a particular emphasis on autonomous driving assistance. Her most cited work, "Development of Lane Keeping Controller Using Image Processing" (2018), addresses critical challenges in dynamic traffic congestion and driving safety by advancing lane keeping control—a driver-assistance feature that automatically manages a vehicle’s lateral direction using image-based look-ahead distance algorithms. This contribution underscores her expertise in integrating computer vision and control systems to enhance vehicular autonomy and road safety. With 2 citations to this key paper, Mohamad’s research has laid foundational groundwork for practical, real-time solutions in automated driving, reflecting her commitment to mitigating traffic-related risks. Her work is notable for bridging theoretical control methods with applied image processing, offering a scalable approach to reducing human error in driving. For students and researchers exploring the intersection of robotics, computer vision, and automotive engineering, Mohamad’s contributions provide a clear example of how sensor-driven algorithms can transform vehicle dynamics and safety protocols.