Sim-to-Real Reinforcement Learning for Autonomous Driving Using Pseudosegmentation Labeling and Dynamic Calibration

Figure 10

Comparison by KL divergence. Our segmentation model output results that are more similar to the simulation than does the model trained by the ground-truth dataset.