ActiveLO-training selects diverse and hard LiDAR sequences so a deep odometry model trained on 52% of the data performs as well as or better than one trained on the full dataset.
Fast-lidar-slam: A robust and real-time factor graph for urban scenarios with unstable gps signals,
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Efficient Active Training for Deep LiDAR Odometry
ActiveLO-training selects diverse and hard LiDAR sequences so a deep odometry model trained on 52% of the data performs as well as or better than one trained on the full dataset.