Extended Data Table 1 Comparative evaluation with different sensor modalities. Results on the Oxford Radar RobotCar dataset15 are given in tuples of (% translation error) / (deg/100m). The column ‘Mean’ shows the mean spatial cross-validation error over the test sequences, ensuring that test and training data are not correlated. Failed sequences are marked with ‘x’. Although GRAMME models with individual modalities slightly outperform the baselines in most sequences, the fusion models significantly improve upon the most related state-of-the-art due to the effective use of additional data
From: Deep learning-based robust positioning for all-weather autonomous driving
