LSTM and Filter Based Comparison Analysis for Indoor Global Localization in UAVs

LSTM and Filter Based Comparison Analysis for Indoor Global Localization in UAVs

Deep learning (DL) based localization and Simultaneous Localization and Mapping (SLAM) has recently gained considerable attention demonstrating remarkable results. Instead of constructing hand-crafted algorithms through geometric theories, DL based solutions provide a data-driven solution to the pro...

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Bibliographic Details
Main Authors: Abdullah Yusefi, Akif Durdu, Muhammet Fatih Aslan, Cemil Sungur
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Global localization
pose estimation
recurrent convolutional neural networks
bi-directional LSTM
VIO
Online Access:https://ieeexplore.ieee.org/document/9316698/

Internet

https://ieeexplore.ieee.org/document/9316698/

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