Ming Lin is a PhD student and researcher in South Korea specializing in localization and perception for self-driving cars, with nine years of hands-on experience developing ROS-based algorithms on Linux. He has applied Graph SLAM, Extended/Unscented Kalman Filters, Particle Filters and particle-aided UKF variants to vehicle localization and authored multiple SCIE/SCOPUS papers on these topics. Proficient in Python, C/C++, MATLAB/Simulink and familiar with TensorFlow/Keras and PyTorch, he builds sensor fusion, object detection, lane/vehicle/pedestrian detection, and A* path-planning systems and integrates them with PRESCAN and dSPACE simulation toolchains. Ming enjoys seeing his algorithms run on hardware, has implemented ROS packages and manipulator control, and brings both academic rigor and practical system integration experience aimed at production-grade autonomous driving.
9 years of coding experience
Bachelor's degree, Transportation/Mobility Management, Bachelor's degree, Transportation/Mobility Management at Shanghai University of Engineering Science
This is the udacity self driving dar nanodegree program Term3. The project is aim to run self driving car based on ROS system. All the communication is based on ROS.
Contributions:28 commits, 27 pushes, 1 branch in 7 days
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