Jongsang Suh

TL;DR: The simulation and test results show that the proposed algorithm can handle complicated lane change scenarios, while guaranteeing safety, and is evaluated by performing lane change simulations in MATLAB/Simulink, while considering the effect of combination prediction.

TL;DR: In this paper, a model predictive control (MPC) based motion planning controller for automated driving on a motorway using a vehicle traffic simulator is presented, where the desired driving mode and a safe driving envelope are determined based on the probabilistic prediction of surrounding vehicles behaviors over a finite prediction horizon.

TL;DR: In this paper, the authors describe the design and evaluation of a driving mode decision algorithm for automated driving on a motorway circumstance, where the desired driving mode is determined by a cost function that considers lane change or deceleration time, acceleration magnitude, and desired speed.

TL;DR: In this article, a model predictive control algorithm for automated driving on a motorway using a Vehicle Traffic Simulator is described, where the desired driving mode and a safe driving envelope are determined based on the probabilistic prediction of surrounding vehicles behaviors over a finite prediction horizon.

TL;DR: In this paper, a novel vehicle inertial parameter identification method is proposed for the design of vehicle dynamics control systems. But this method requires the identification of the vehicle's inertial parameters.