DU-VIO combines a GAN dehazing module with a CNN-LSTM visual-inertial odometry pipeline and reports improved pose RMSE on modified AQUALOC underwater sequences.
Underwater navigation, localization and path planning for autonomous vehicles: A review,
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Dehazing-aided Multi-Rate Multi-Modal Pose Estimation Framework for Mitigating Visual Disturbances in Extreme Underwater Domain
DU-VIO combines a GAN dehazing module with a CNN-LSTM visual-inertial odometry pipeline and reports improved pose RMSE on modified AQUALOC underwater sequences.