What is the most promising approach to increasing the location accuracy of smartphones?
Ismael Colomina
“In addition to the use of increasingly available augmentation services, such as Galileo’s free High-Accuracy Service (HAS), I see two development directions that may help, particularly in the context of positioning in urban areas where smartphones are most used. One is the use of 3D city models — in general, 3D geoinformation — to compensate for multipath, non-line-of-sight and occlusion effects. The other is to use signals that are robust against those effects, which today are only available in geodetic-grade receivers.” — Ismael Colomina, GeoNumerics
For the navigation of autonomous vehicles, will GNSS become essential, or will it be relegated to a secondary role by robotic navigation methods?
John Fischer
“The PNT solution cannot be from a single source because autonomous navigation requires high integrity. Therefore, it’s not that GNSS will be relegated to secondary status, it’s that no one method will be primary. An intelligent fusion of diverse sensors —including GNSS — will provide the PNT solution along with an integrity metric that safeguards operation. The various sensors must agree. If they don’t, no trust can be put into the solution and autonomous navigation will cease. The definition of a new integrity metric that quantifies this trust level is needed.” — John Fischer, Orolia
Ellen Hall
“Because GNSS provides high precision and widely available PNT, it will continue to be a critical component in navigation while working with computer vision, inertial measurement units (IMUs) and lidar through sensor fusion. As a secondary component, GNSS serves a vital role for localization and validation.” — Ellen Hall, Spirent Federal Systems