Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Inertial Navigation System Aided by GPS and Selective Frequency Contents of Vector Measurements
Inertial navigation system aided by aircraft dynamics
Inertial/GPS System for Seismic Survey
Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study
Navigation with IMU/GPS/digital compass with unscented Kalman filter
GNSS Spoofing Detection and Mitigation Based on Maximum Likelihood Estimation
Ionospheric Scintillation Effects on Single and Dual Frequency GPS Positioning
Overview of Spatial Processing Approaches for GNSS Structural Interference Detection and Mitigation
Augmenting inertial navigation with image-based motion estimation
Analysis and Modeling of Inertial Sensors Using Allan Variance
Accurate real-time relative localization using single-frequency GPS
High-accuracy differential tracking of low-cost GPS receivers
A GNSS structural interference mitigation technique using antenna array processing
Real-time kinematic positioning with GPS and GLONASS
Systematic Calibration for Ultra-High Accuracy Inertial Measurement Units
Small and Adaptive Antennas and Arrays for GNSS Applications
Ionospheric Time-Delay Algorithm for Single-Frequency GPS Users
Known Vulnerabilities of Global Navigation Satellite Systems, Status, and Potential Mitigation Techniques
Multipath detection with 3D digital maps for robust multi-constellation GNSS/INS vehicle localization in urban areas
Towards consistent visual-inertial navigation
Satellite Radiolocalization From GPS to GNSS and Beyond: Novel Technologies and Applications for Civil Mass Market
NAVSTAR: Global positioning system&#8212;Ten years later
Beauty as an Emotion: The Exhilarating Prospect of Mastering a Challenging World
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
Warpage characterization of panel Fan-out (P-FO) package
Continuous Online Sequence Learning with an Unsupervised Neural Network Model