GV-INS: GNSS-Visual-Inertial Navigation Framework ID: 2020-057
An innovative navigation framework designed to enhance autonomous vehicle navigation in GNSS-challenged environments.
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Technology Overview
The GV-INS technology integrates GNSS, visual, and inertial measurements to provide reliable navigation for autonomous vehicles, especially in areas where GNSS signals are unreliable. It employs a moving-horizon estimation approach for data fusion, offering improved accuracy and robustness over traditional methods.
Key Advantages
- Enhanced navigation in GNSS-degraded environments
- Integration of multiple data modalities for improved reliability
- Higher accuracy and robustness through moving-horizon estimation
- Capability to navigate smoothly through indoor and outdoor environments
Problems Addressed
- Navigation difficulties in environments with poor or no GNSS signals
- Reliance on GNSS signals prone to multipath errors and occlusions
- Challenges in autonomous vehicle operation in diverse environments
Market Applications
- Navigation systems for autonomous vehicles, including drones
- Robust positioning solutions for indoor and outdoor environments
- Advanced mapping and surveying tools requiring high navigation accuracy
Additional Information
Technology ID: 2020-057
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Date Published: 28 March, 2025
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