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Taekgyu Lee

2 papers indexed

crossrefElectronics2022-08-24Cited by 20

Real-Time Drift-Driving Control for an Autonomous Vehicle: Learning from Nonlinear Model Predictive Control via a Deep Neural Network

Taekgyu Lee, Dongyoon Seo, Jinyoung Lee, Yeonsik Kang

A drift-driving maneuver is a control technique used by an expert driver to control a vehicle along a sharply curved path or slippery road. This study develops a nonlinear model predictive control (NMPC) method for the autonomous vehicle to perform a drift maneuver and generate t…

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crossrefElectronics2021-03-24Cited by 13

Performance Analysis of Deep Neural Network Controller for Autonomous Driving Learning from a Nonlinear Model Predictive Control Method

Taekgyu Lee, Yeonsik Kang

Nonlinear model predictive control (NMPC) is based on a numerical optimization method considering the target system dynamics as constraints. This optimization process requires large amount of computation power and the computation time is often unpredictable which may cause the co…

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