Deep Learning-Aided Inertial/Visual/LiDAR Integration for GNSS-Challenging Environments
This research develops an integrated navigation system, which fuses the measurements of the inertial measurement unit (IMU), LiDAR, and monocular camera using an extended Kalman filter (EKF) to provide accurate positioning during prolonged GNSS signal outages. The system features the use of an integ...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/13/6019 |