An Adaptive Integrated Positioning Method for Urban Vehicles Based on Multitask Heterogeneous Deep Learning During GNSS Outages
Author:
Affiliation:
1. College of Computer Science and Technology, Taiyuan University of Technology, Jinzhong, China
Funder
Key Research and Development Program of Shanxi Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10251409/10215333.pdf?arnumber=10215333
Reference43 articles.
1. An enhanced foot-mounted PDR method with adaptive ZUPT and multi-sensors fusion for seamless pedestrian navigation
2. A Novel Method for AI-Assisted INS/GNSS Navigation System Based on CNN-GRU and CKF during GNSS Outage
3. An Optimal Enhanced Kalman Filter for a ZUPT-Aided Pedestrian Positioning Coupling Model
4. High-Accuracy Attitude Determination Using Single-Difference Observables Based on Multi-Antenna GNSS Receiver with a Common Clock
5. Lane Detection Aided Online Dead Reckoning for GNSS Denied Environments
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