Abstract: Disclosed herein is a method of generating a map based on ground penetrating radar (GPR) scans including receiving GPR data corresponding to multiple path of travel of one or a plurality of moving devices and/or surfaces. Some of these paths of travel overlap at least some others and some of these paths of travel are independent of one another. Where overlapping is determined, GPR data is combined to form a higher resolution and/or more accurate determination of physical properties of a subsurface. Further, the resolution can increase with each scan of a particular area and the technology can be used in conjunction with a separate positioning system like a GPS and/or replace the separate positioning system when the resolution is sufficiently high for a portion of the surface.

Abstract: A ground penetrating radar device and/or other sensor such as LIDAR, pressure, or temperature sensors is mounted on a mobile device, and is adapted, during motion of the mobile device, to sense characteristics of asphalt pavement on which the mobile device is moving, prior to compaction of the asphalt pavement by rollers. A processor, functionally associated with at least one sensor, receives from the sensor signals relating to characteristics of the asphalt pavement on which the mobile device is moving, and computes, based on the received signals, at least one compaction characteristic of the asphalt pavement. The processor provides a mapping of computed desired change in compaction characteristics to regions of the asphalt pavement during the rolling process. During rolling, at least one sensor measures the change in compaction and assesses when the change in compaction matches the desired optimal compaction based on the pre-generated map.

Abstract: A ground penetrating radar device and/or other sensor such as LIDAR, pressure, or temperature sensors is mounted on a mobile device, and is adapted, during motion of the mobile device, to sense characteristics of asphalt pavement on which the mobile device is moving, prior to compaction of the asphalt pavement by rollers. A processor, functionally associated with at least one sensor, receives from the sensor signals relating to characteristics of the asphalt pavement on which the mobile device is moving, and computes, based on the received signals, at least one compaction characteristic of the asphalt pavement. The processor provides a mapping of computed desired change in compaction characteristics to regions of the asphalt pavement during the rolling process. During rolling, at least one sensor measures the change in compaction and assesses when the change in compaction matches the desired optimal compaction based on the pre-generated map.

Abstract: In an embodiment of the disclosed technology, a visual output of data from a ground-penetrating radar is displayed on a visual medium. The display has a first exhibition of output from a higher frequency range antenna, a second exhibition of output from a lower frequency range antenna (compared to the other antenna; see definition in the “detailed description”), and a transition area between the first and second exhibition having merged data from the lower frequency antenna and the higher frequency antenna. The depth range of the transition area may be varied based on optimal depth range of each antenna, such as manually by a viewer viewing the visual output, which may occur in real-time, that is, while operating the radar and viewing the visual output thereof. Or, the transition depth range and/or width of the transition region may be varied as part of post-processing.

Abstract: A method for inferring information about the conductivity of a medium from ground penetrating radar (GPR) data using a calculated effective penetration limit of the GPR system, including various methods for calculating the effective penetration limit.