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The work presented in this paper provides a proof of concept of a novel likelihood based snapshot Probability Grid Positioning (PGP) approach for low-cost GNSS ...
Precise Probabilistic Grid Positioning based on. GNSS Pseudoranges and Digital Elevation Models. Paul Schwarzbach, Andrea Jung, Richard Weber, Oliver Michler.
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A likelihood-based 3D-mapping-aided GNSS ranging algorithm is demonstrated that enables signals predicted to be non-line-of-sight (NLOS) to contribute to ...
In this paper, we provide a tight integration of GNSS pseudoranges and RF augmentation systems based on spatial map data given as a digital elevation model.
... Grid using a Gaussian distribution (right) from publication: Precise Probabilistic Grid Positioning based on GNSS Pseudoranges and Digital Elevation Models | ...
Precise positioning correction models. Developers of GPS software are generally well aware of corrections they must apply to pseudorange or carrier-phase ...
Missing: Probabilistic Digital
Nov 8, 2016 · Precise Probabilistic Grid Positioning based on GNSS Pseudoranges and Digital Elevation Models · Simulative Validation of Snapshot Likelihood ...
Jul 27, 2017 · GNSS shadow matching determines position by comparing the measured signal availability and strength with predictions made using a 3D city model ...
Missing: Probabilistic | Show results with:Probabilistic
This can be used to enhance conventional ranging-based positioning and to implement shadow matching, a complementary GNSS positioning technique that determines ...
Mar 29, 2024 · This model predicts vehicle position changes during GNSS outages based on INS data. The proposed methodology demonstrates reduced errors in ...