The Prospect of One Model End-to-End Autonomous Driving

The One Model end-to-end solution is the fourth-stage solution. Although the training and debugging are complex, its final effect has a higher ceiling. Whether using a learning architecture based on RL/IL or a derivative architecture based on the world model, the training process of the One Model end-to-end solution can cover a wider range of data, allowing it to be fully applied to autonomous driving and achieve better generalization effects.