Zalilah Abd Aziz

Papers

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About

Zalilah Abd Aziz is a researcher focused on advancing autonomous vehicle navigation through Simultaneous Localization and Mapping (SLAM) technology. Her work centers on integrating 3D point cloud data from LiDAR sensors to enhance how self-driving cars perceive and map their environments in real time. Her most cited paper, "A Brief Survey on SLAM Methods in Autonomous Vehicle" (2018, 57 citations), provides a foundational overview of SLAM techniques for self-driving cars, particularly following the release of commercial semi-autonomous vehicles like Tesla. She further contributes to the field through simulation studies, as seen in "Simulation of simultaneous localization and mapping using 3D point cloud data" (2019, 8 citations), which simplifies algorithm learning by replicating real-world conditions. Her work "Visual analytics of 3D LiDAR point clouds in robotics operating systems" (2020, 8 citations) explores the visualization and analysis of LiDAR data within robotics frameworks, addressing key challenges in sensor data interpretation. With a growing citation record, Abd Aziz’s research is instrumental in bridging theoretical SLAM methods with practical autonomous driving applications, making her a notable voice in robotics and intelligent transportation systems.