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The article discusses experimental research on the navigation control of self-driving cars using predictive control. The effectiveness of the solution lies in its ability to steer the vehicle within its lane and avoid collisions. Model Predictive Control (MPC) proves highly effective at speeds of 1 meter per second, ensuring smooth position changes, quick setup, and minimal steering angle deviations. This control approach could enhance the development of autonomous vehicles. The study lays the groundwork for future research and progress in autonomous vehicle navigation control. Recognizing the limitations of the current MPC controller at higher speeds, future studies could focus on integrating additional intelligent and adaptive control algorithms to enhance overall performance in various dynamic scenarios. Experimental validation is crucial for bridging theoretical concepts with real-world applications, providing a solid foundation for implementing MPC control systems in autonomous vehicles.
Hà et al. (Fri,) studied this question.