Wan Mimi Diyana Wan Zaki

Papers

Total Citations

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About

Wan Mimi Diyana Wan Zaki is a researcher whose work sits at the intersection of computer vision, autonomous navigation, and 3D sensing technologies. Her most-cited paper, "An automated 3D scanning algorithm using depth cameras for door detection" (2015, 17 citations), addresses a critical challenge in indoor autonomous vehicle navigation: reliably detecting doors for entry and exit when GPS and network signals are unavailable. By leveraging Microsoft Kinect depth cameras, she developed an algorithm that enables vehicles to interpret their surroundings through 3D scanning, offering a practical solution to indoor localization and obstacle detection. This contribution is particularly valuable for robotics and assistive technologies, where precise environmental mapping is essential. Wan Zaki’s work demonstrates a keen ability to bridge hardware capabilities with real-world application, making her research highly relevant for students and engineers working on autonomous systems, depth sensing, and indoor navigation. Her focus on low-cost, accessible sensors like the Kinect also highlights a commitment to scalable and deployable solutions in robotics.