Andere Kunden interessierten sich auch für
![Development and Flight Test of a Robust Optical-Inertial Navigation System Using Low-Cost Sensors]( "Development and Flight Test of a Robust Optical-Inertial Navigation System Using Low-Cost Sensors")
Development and Flight Test of a Robust Optical-Inertial Navigation System Using Low-Cost Sensors63,99 €![Fusion of Inertial Sensors and Orthogonal Frequency Division Multiplexed Signals of Opportunity for Unassisted Navigation]( "Fusion of Inertial Sensors and Orthogonal Frequency Division Multiplexed Signals of Opportunity for Unassisted Navigation")
Fusion of Inertial Sensors and Orthogonal Frequency Division Multiplexed Signals of Opportunity for Unassisted Navigation61,99 €![Tightly-Coupled Image-Aided Inertial Navigation System via a Kalman Filter]( "Tightly-Coupled Image-Aided Inertial Navigation System via a Kalman Filter")
Tightly-Coupled Image-Aided Inertial Navigation System via a Kalman Filter62,99 €![Coupling Vanishing Point Tracking with Inertial Navigation to Estimate Attitude in a Structured Environment]( "Coupling Vanishing Point Tracking with Inertial Navigation to Estimate Attitude in a Structured Environment")
Coupling Vanishing Point Tracking with Inertial Navigation to Estimate Attitude in a Structured Environment60,99 €![Polarimetric Enhancements to Electro-Optical Aided Navigation Techniques]( "Polarimetric Enhancements to Electro-Optical Aided Navigation Techniques")
Polarimetric Enhancements to Electro-Optical Aided Navigation Techniques61,99 €![Satellite-Based Fusion of Image/Inertial Sensors for Precise Geolocation]( "Satellite-Based Fusion of Image/Inertial Sensors for Precise Geolocation")
Satellite-Based Fusion of Image/Inertial Sensors for Precise Geolocation62,99 €![Multiple Integrated Navigation Sensors for Improved Occupancy Grid Fastslam]( "Multiple Integrated Navigation Sensors for Improved Occupancy Grid Fastslam")
Multiple Integrated Navigation Sensors for Improved Occupancy Grid Fastslam62,99 €
The motivation of this research is to address the benefits of tightly integrating optical and inertial sensors where GNSS signals are not available. The research begins with describing the navigation problem. Then, error and measurement models are presented. Given a set of features, a feature detection and projection algorithm is developed which utilizes inertial measurements to predict vectors in the feature space between images. The unscented Kalman filter is applied to the navigation system using the inertial measurements and feature matches to estimate the navigation trajectory. Finally, the image-aided navigation algorithm is tested using a simulation and an experiment. As a result, the optical measurements combined with the inertial sensors result in improved performance for non-GNSS based navigation.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.