Woosik Lee is a Computer Vision Algorithm Engineer with eight years of experience specializing in SLAM, visual-inertial navigation, and multi-sensor fusion, currently working at Apple after interning there earlier in 2024. A University of Delaware Ph.D. candidate in Mechatronics, Robotics, and Automation, he has researched VINS, MINS (IMU, cameras, GNSS, wheel, LiDAR), online sensor calibration, observability analysis, and pose-graph sparsification. He blends deep academic rigor with product-focused algorithm development, transitioning research prototypes into practical SLAM solutions at a major consumer-tech company. Based in Newark, Delaware, he combines classical state-estimation expertise with machine learning tools for sensor calibration—an often-overlooked but highly impactful area for real-world navigation systems.
9 years of coding experience
Master of Engineering - MEng, Mechatronics, Robotics, and Automation Engineering, Master of Engineering - MEng, Mechatronics, Robotics, and Automation Engineering at Korea University
Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy - PhD, Mechatronics, Robotics, and Automation Engineering at University of Delaware
An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS, LINS/LIO, multi-sensor fusion for localization and mapping (SLAM). This repository also provides multi-sensor simulation and data.
Contributions:3 reviews, 4 PRs, 23 pushes in 2 years 10 months
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