Yee-Ming Ooi

Papers

Total Citations

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About

Yee-Ming Ooi is a researcher advancing the field of autonomous vehicle systems, with a primary focus on perception, control, and navigation for unmanned ground vehicles (UGVs). His most cited work, "Autonomous Driving Control Based on the Perception of a Lidar Sensor and Odometer" (2022, 10 citations), introduces a novel method for integrating lidar and odometry data to enable real-time path planning and obstacle avoidance. This contribution addresses a critical challenge in smart mobility: creating UGVs that can navigate complex environments autonomously and safely. Ooi’s research lies at the intersection of artificial intelligence, sensor fusion, and robotics, leveraging deep learning and probabilistic algorithms to enhance vehicle perception and decision-making. His work is particularly notable for its practical implications in the development of intelligent transportation systems, where reliable autonomous control is essential. With a growing citation record, Ooi’s contributions are gaining recognition among peers in robotics and automotive engineering. His research not only pushes the boundaries of autonomous driving technology but also offers scalable solutions for real-world deployment, making him a promising voice in the next generation of autonomous systems research.