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Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS)
An algorithm based on Artificial Neural Networks is proposed in this paper to improve the accuracy of Inertial Navigation System (INS)/ Global Navigation Satellite System (GNSS) integrated navigation during the absence of GNSS signals.
IO-VNBD: Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning
Several deep learning techniques have been investigated to mitigate the errors for a better navigation solution [1-10].
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