Technologies are described herein for validating and correcting map data using oblique images or aerial photographs taken at oblique angles to the earth's surface. Pixels within oblique images can be analyzed to detect, validate, and correct other sources of data used in generating maps such as vector data, elevation maps, projection parameters, and three-dimensional model data. Visibility and occlusion information in oblique views may be analyzed to reduce errors in either occluding or occluded entities. Occlusion of road segments due to foliage, z-ordering of freeways, tunnels, bridges, buildings, and other geospatial entities may be determined, validated, and corrected. A learning algorithm can be trained with image-based descriptors that encode visible data consistencies. After training, the algorithm can classify errors and inconsistencies using combinations of different descriptors such as color, texture, image-gradients, and filter responses.
Please note there is up to 60 days of latency in this Status indicator for certain status conditions. You can obtain up-to-date Status indicator readings by ordering PAIR for the file.
An application with the status "Published" (which means it is pending) may be recently abandoned, but not yet updated to reflect its abandoned status. However, an application filed less than one year ago is unlikely to be abandoned.
A patent with the status "Granted" may be recently expired, but not yet updated to reflect its expired status. However, it is highly unlikely a patent less than 3.5 years old would be expired.
An application with the status "Abandoned" is almost always current, but there is a small chance it was recently revived and the status not yet updated.
This priority date is an estimated earliest
priority date and is purely an estimation. This date should not be
taken as legal conclusion. No representations are made as to the
accuracy of the date listed. Please consult a legal professional
before relying on this date.