Abstract: An image that includes a point of interest is captured using an image capturing device that is part of the mobile data collection platform. Raw observables are obtained from a GNSS chipset that is internal to the mobile data collection platform. A position fix of the mobile data collection platform is determined based on the raw observables where the position fix defines a location of an antenna. A location of an entrance pupil is calculated as an offset of the location of the antenna. Orientation information comprising a tilt angle and an azimuth angle is determined. The position fix and the orientation information are associated with a three dimensional location that the mobile data collection platform is at when the image was captured. Scale information is captured. The image, the position fix, the scale information, and the orientation information are stored in hardware memory of the mobile data collection platform.

Abstract: A method of improving position determination of a device using locally measured movement. A first position fix of a Global Navigation Satellite System (GNSS) receiver system of a device is accessed. A second position fix of the GNSS receiver system is accessed at a time subsequent to the first position fix. Locally measured device movement information is obtained from at least one sensor, that is in a known physical relationship to the device, for a time period after the first position fix and no later than the second position fix, wherein the at least one sensor comprises an image capture device. The quality of measurement of the second position fix is improved by disciplining the second position fix based on the locally measured device movement information.

Abstract: External accessory data is collected at a mobile data collection platform provided by an external accessory of the mobile data collection platform. An image that includes a point of interest is captured by an image capturing device that is an integral part of the mobile data collection platform performs. Raw observables are obtained from an external GNSS raw observable provider that is separate from and outside of the mobile data collection platform. A position fix of the mobile data collection platform is determined based on the raw observable. Orientation information comprising a tilt angle and an azimuth angle is determined. External accessory data is received from an accessory that is external to the mobile data collection platform. The image, the position fix, the orientation information and the external accessory data are stored in hardware memory of the mobile data collection platform.

Abstract: External accessory data is collected at a mobile data collection platform (MDCP) provided by an external accessory of the MDCP. An image that includes a point of interest is captured using an image capturing device integral to the MDCP. Raw observables are obtained from a GNSS chipset internal to the MDCP. An position fix of the MDCP defines the location of an antenna and is determined based on the raw observables. An entrance pupil location is calculated as an offset off the antenna location. Orientation information comprising a tilt angle and an azimuth angle is determined. The position fix and orientation information are associated with a three dimensional location that the MDCP is at when the image was captured. External accessory data is received from an accessory external to the MDCP. The image, position fix, orientation information and external accessory data are stored in hardware memory of the MDCP.

Abstract: A known fixed relationship is maintained between an external electronic distance measurement accessory and a mobile data collection platform that are physically coupled together. A light beam axis of the external electronic distance measurement accessory is parallel with an optical axis of an entrance pupil of the mobile data collection platform. The external electronic distance measurement accessory integrates with the mobile data collection platform. The external electronic distance measurement accessory receives control instructions from the mobile data collection platform.

Abstract: A method for matching a region on an object of interest with a geolocation in a coordinate system is disclosed. In one embodiment, an image of a region on an object of interest is captured on an image capture device. The image is processed to detect a located feature using a feature detection algorithm. Further processing of the located feature is performed to derive a first feature descriptor using a feature descriptor extraction algorithm. The feature descriptor is stored in a memory. A database of feature descriptors having geolocation information associated with the feature descriptors is searched for a match to the first feature descriptor. The geolocation information is then made available for access.

Abstract: A method for capturing ionospheric data is disclosed. In accordance with one embodiment, a plurality of phase-coherent signals transmitted by at least one Global Navigation Satellite System (GNSS) satellite is received via a mobile multi-frequency GNSS receiver. Respective code phase data and carrier phase data for each of said plurality of phase-coherent signals are derived using a software defined GNSS receiver operating on a processor of a first communication device of the multi-frequency GNSS receiver. Respective code phase data and carrier phase data for each of the plurality of phase-coherent signals is stored in a data storage device. The respective code phase data and carrier phase data is appended with a respective time-stamp and position fix. An ionospheric sample based upon respective code phase data and carrier phase data of said plurality of phase-coherent signals is wirelessly transmitted to a second location.

Abstract: A plurality of images are captured by an image capturing device that is an integral part of the mobile data collection platform from at least two different perspectives that depict a point of interest in a scene. Coincident with capture of each of the plurality of images, orientation information is obtained via orientation sensors of the mobile data collection platform, a position fix of an antenna associated with the mobile data collection platform is determined, and a position of an entrance pupil of the image capturing device is calculated. Scale information associated with at least one of the images is captured. Scene data comprises the images, the orientation information and the entrance pupil positions. A three dimensional position of the point of interest at the scene is determined based on photogrammetric image processing of the scene data.

Abstract: A radio frequency component receives and digitizes a first plurality of L1 Global Navigation Satellite System (GNSS) signals and a second plurality of L2C GNSS signals from a plurality of GNSS satellites. A software defined GNSS receiver operating on a processor of a cellular telephone separate from the radio frequency component derives carrier phase measurements from the first plurality of L1 GNSS signals and the second plurality of L2C GNSS signals during an epoch. A wireless message from a communication device located at a base location is received conveying pseudorange and carrier measurements derived from the first plurality of L1 GNSS signals from said plurality of GNSS satellites during the epoch. The cellular telephone determines a distance from the base location to said first location.

Abstract: A method of automatic obstacle location mapping comprises receiving an indication of a feature to be identified in a defined area. An instance of the feature is found within an image. A report is then generated conveying the location of said feature.

Abstract: A method for estimating position and orientation of an image-capturing device is proposed. The method comprises the step of obtaining a preceding set of frames by using the image-capturing device. Each frame includes a set of image data. The method of the present technology further comprises the step of estimating a previous position and orientation of the image-capturing device by using the set of image data included in at least one preceding frame, and the step of estimating a current position and orientation of the image-capturing device by replacing a set of image data included in at least one preceding frame by a set of image data included in at least one subsequent frame. At least one subsequent frame is obtained by using the image-capturing device.

Abstract: A stand-alone radio frequency hardware component includes a first antenna configured for receiving, over-the-air, a first analog Global Navigation Satellite System (GNSS) signal in a first frequency band. A second antenna configured for receiving, over-the-air, at least a second analog GNSS signal in a second frequency band, wherein the first frequency band and the second frequency band are separate and distinct. A digitizer configured for digitizing the first analog GNSS signal into a first digitalized GNSS signal and for digitizing the second analog GNSS signal into a second digitized GNSS signal. A memory for storing the digitized GNSS signals, wherein the digitized GNSS signals are accessed from the memory by a separate communication device.

Abstract: A stand-alone radio frequency (RF) hardware component comprises first and second antennas, a digitizer, a serializer, and a serial output. The first antenna receives, over-the-air, a first analog Global Navigation Satellite System (GNSS) signal in a first frequency band. The second antenna receives, over-the-air, at least a second analog GNSS signal in a second frequency band, wherein the first frequency band and the second frequency band are separate and distinct. The digitizer digitizes the first analog GNSS signal into a first digitalized GNSS signal and digitizes the second analog GNSS signal into a second digitized GNSS signal. The serializer serializes the digitized GNSS signals into a serialized output signal. A wireless transmitter for wirelessly transmitting the digitized GNSS signals, as the serialized output signal, from the radio frequency hardware component to a separate communication device.

Abstract: A method of determining a tilt angle and a tilt direction of a survey instrument. The survey instrument has an imaging device that captures first images at a first location. The first images include features from an environment around the survey instrument. The imaging device also captures second images at a second location. The second images include a portion of the features. A pose of the imaging device is determined at the second location using observed changes in location of a common portion of the features between the first images and the second images. The tilt angle and the tilt direction of the survey instrument at the second location are determined using the pose of the imaging device.

Abstract: External accessory data is collected at a mobile data collection platform provided by an external accessory of the mobile data collection platform. An image that includes a point of interest is captured by an image capturing device that is an integral part of the mobile data collection platform performs. Raw observables are obtained from an external GNSS raw observable provider that is separate from and outside of the mobile data collection platform. A position fix of the mobile data collection platform is determined based on the raw observable. Orientation information comprising a tilt angle and an azimuth angle is determined. External accessory data is received from an accessory that is external to the mobile data collection platform. The image, the position fix, the orientation information and the external accessory data are stored in hardware memory of the mobile data collection platform.

Abstract: External accessory data is collected at a mobile data collection platform (MDCP) provided by an external accessory of the MDCP. An image that includes a point of interest is captured using an image capturing device integral to the MDCP. Raw observables are obtained from a GNSS chipset internal to the MDCP. An position fix of the MDCP defines the location of an antenna and is determined based on the raw observables. An entrance pupil location is calculated as an offset off the antenna location. Orientation information comprising a tilt angle and an azimuth angle is determined. The position fix and orientation information are associated with a three dimensional location that the MDCP is at when the image was captured. External accessory data is received from an accessory external to the MDCP. The image, position fix, orientation information and external accessory data are stored in hardware memory of the MDCP.

Abstract: An image that includes a point of interest is captured using an image capturing device that is part of the mobile data collection platform. Raw observables are obtained from a GNSS chipset that is internal to the mobile data collection platform. A position fix of the mobile data collection platform is determined based on the raw observables where the position fix defines a location of an antenna. A location of an entrance pupil is calculated as an offset of the location of the antenna. Orientation information comprising a tilt angle and an azimuth angle is determined. The position fix and the orientation information are associated with a three dimensional location that the mobile data collection platform is at when the image was captured. Scale information is captured. The image, the position fix, the scale information, and the orientation information are stored in hardware memory of the mobile data collection platform.

Abstract: An image that includes a point of interest is captured using an image capturing device that is an integral part of the mobile data collection platform. Raw observables are obtained from a GNSS raw observables provider that is external to and coupled with the mobile data collection platform. A position fix of the mobile data collection platform is determined based on the raw observables where the position fix is a location of an antenna. A location of an entrance pupil is calculated as an offset from the location of the antenna. Orientation information comprising a tilt angle and an azimuth angle is determined. The position fix and the orientation information are associated with a three dimensional location of the mobile data collection platform when the image was captured. Scale information is captured. The image, the position fix, the scale information, and the orientation information are stored in hardware memory of the mobile data collection platform.

Abstract: A known fixed relationship is maintained between an external electronic distance measurement accessory and a mobile data collection platform that are physically coupled together. A light beam axis of the external electronic distance measurement accessory is parallel with an optical axis of an entrance pupil of the mobile data collection platform. The external electronic distance measurement accessory integrates with the mobile data collection platform. The external electronic distance measurement accessory receives control instructions from the mobile data collection platform.

Abstract: A method for estimating position and orientation of an image-capturing device is proposed. The method comprises the step of obtaining a preceding set of frames by using the image-capturing device. Each frame includes a set of image data. The method of the present technology further comprises the step of estimating a previous position and orientation of the image-capturing device by using the set of image data included in at least one preceding frame, and the step of estimating a current position and orientation of the image-capturing device by replacing a set of image data included in at least one preceding frame by a set of image data included in at least one subsequent frame. At least one subsequent frame is obtained by using the image-capturing device.