Toyota Aims to Realize “Seasoned Driving” for Automated Driving System
Toyota’s research showed that an automated driving control with model predictive control can be a solution to achieve “seasoned driving.”
Key Outcomes
- Research a control algorithm for automated driving to realize the “seasoned driving” of a skilled human driver
- Rapidly design and test a model predictive controller using Model Predictive Control Toolbox
- Develop a flexible and efficient development environment with MATLAB and Simulink
Toyota has been developing controls to enable automated driving systems to replicate “seasoned driving” by a skilled human driver. Model predictive control is used for generating an optimal driving trajectory while predicting the future vehicle behavior.
Toyota developed a simulation environment with Model Predictive Control Toolbox™ and efficiently explored the directions and challenges of MPC adoption through the research.
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