Abstract: A vehicle monitoring system includes a controller and one or more vibration sensors that measure operational frequencies of different vehicle components during operation of the vehicle. The controller receives the measured operational frequencies and compares them to modeled frequencies for one or more operational states of each of the different vehicle components. The controller determines that the operational frequencies in a particular frequency range associated with a specific component correspond to an abnormal operational state for that specific component in response to the operational frequencies in the particular frequency range deviating from the modeled frequencies for a normal operational state of the specific component or matching the modeled frequencies for the abnormal operational state of the specific component. The controller generates and presents the abnormal operational state of the specific component on one or more of a vehicle console or a user device.

Abstract: Disclosed is a vehicle tuning and calibration system and associated methods for diagnosing and correcting issues involving vehicle performance, driving characteristics, and/or driver assist features. The system includes multiple sensor packages with connectors for mounting a different sensor package to a different wheel of a vehicle. Each sensor package includes sensors that generate measurements for a positioning and movements of the wheel onto which that sensor package is mounted. The system also includes a controller that receives the measurements generated by the sensor packages mounted to the different wheels of the vehicle. The controller generates a user interface with visual representations that are derived from the measurements. The visual representations may identify toe, camber, caster, and other alignment issues detected for different wheels, adjustments to correct the detected issues, and positions and orientations at which to place targets relative to the vehicle for vehicle sensor calibration.

Abstract: Disclosed is an encoding and decoding system and associated methods for producing a compressed waveform that encodes data points of a point cloud in a format and size that may be transmitted over a data network, decompressed, decoded, and rendered on a remote device without the buffering or lag associated with transmitting and rendering an uncompressed point cloud. The encoder receives a request from a remote device to access the point cloud, encodes a set of data points from the point cloud as one or more signals derived from values defined for the positional and non-positional elements of each data point from the set of data points, generates one or more compressed waveforms from compressing the one or more signals and transmits the one or more compressed waveforms to the remote device in response to the request for decompression, decoding, and image rendering.

Abstract: Disclosed are systems and methods for the out-of-order predictive streaming of elements from a three-dimensional (“3D”) image file so that a recipient device is able to produce a first visualization of at least a first streamed element from a particular perspective, similar to the instant transfer of two-dimensional (“2D”) images, while the additional elements and perspectives of the 3D image are streamed. The sending device prioritizes the 3D image elements based on a predicted viewing order, streams a particular element from a particular perspective with a priority that is greater than a priority associated with other elements and other perspectives, determines a next element to stream after the particular element based on the next element being positioned adjacent to the particular element and having a priority that is greater than adjacent elements, and streams the next element to the recipient device.

Abstract: A vehicle monitoring system includes a controller and one or more wheel-integrated monitoring devices that are each disposed between a wheel of a vehicle and a tire that is mounted to that wheel. The wheel-integrated monitoring device has multiple sensors, a transceiver, and a power unit. The sensors generate different measurements during each rotation of the wheel. The transceiver wirelessly transmits the different measurements to the controller. The power unit provides power to the sensors and the transceiver. The controller analyzes the measurements and generates alerts on a dashboard or console in response to the measurements revealing wheel alignment, tire tread, and/or other driving characteristics that differ from manufacturer specifications by more than a threshold amount or that present safety hazards to the driver.

Abstract: Disclosed is an encoding and decoding system and associated methods for producing a compressed waveform that encodes data points of a point cloud in a format and size that may be transmitted over a data network, decompressed, decoded, and rendered on a remote device without the buffering or lag associated with transmitting and rendering an uncompressed point cloud. The encoder receives a request from a remote device to access the point cloud, encodes a set of data points from the point cloud as one or more signals derived from values defined for the positional and non-positional elements of each data point from the set of data points, generates one or more compressed waveforms from compressing the one or more signals and transmits the one or more compressed waveforms to the remote device in response to the request for decompression, decoding, and image rendering.

Abstract: Disclosed is a system and associated methods for generating a composite image from scans or images that are aligned using invisible fiducials. The invisible fiducial is a transparent substance or a projected specific wavelength that is applied to and changes reflectivity of a surface at the specific wavelength without interfering with a capture of positions or visible color characteristics across the surface. The system performs first and second capture of a scene with the surface, and detects a position of the invisible fiducial in each capture based on values measured across the specific wavelength that satisfy a threshold associated with the invisible fiducial. The system aligns the first capture with the second capture based on the detected positions of the invisible fiducial, and generates a composite image by merging or combining the positions or visible color characteristics from the aligned captures.

Abstract: Disclosed are systems and methods for the out-of-order predictive streaming of elements from a three-dimensional (“3D”) image file so that a recipient device is able to produce a first visualization of at least a first streamed element from a particular perspective, similar to the instant transfer of two-dimensional (“2D”) images, while the additional elements and perspectives of the 3D image are streamed. The sending device prioritizes the 3D image elements based on a predicted viewing order, streams a particular element from a particular perspective with a priority that is greater than a priority associated with other elements and other perspectives, determines a next element to stream after the particular element based on the next element being positioned adjacent to the particular element and having a priority that is greater than adjacent elements, and streams the next element to the recipient device.

Abstract: Disclosed is a vehicle tuning and calibration system and associated methods for diagnosing and correcting issues involving vehicle performance, driving characteristics, and/or driver assist features. The system includes multiple sensor packages with connectors for mounting a different sensor package to a different wheel of a vehicle. Each sensor package includes sensors that generate measurements for a positioning and movements of the wheel onto which that sensor package is mounted. The system also includes a controller that receives the measurements generated by the sensor packages mounted to the different wheels of the vehicle. The controller generates a user interface with visual representations that are derived from the measurements. The visual representations may identify toe, camber, caster, and other alignment issues detected for different wheels, adjustments to correct the detected issues, and positions and orientations at which to place targets relative to the vehicle for vehicle sensor calibration.

Abstract: An encoder is disclosed that uses hyperspectral data to produce a unified three-dimensional (“3D”) scan that incorporates depth for various points, surfaces, and features within a scene. The encoder may scan a particular point of the scene using frequencies from different electromagnetic spectrum bands, may determine spectral properties of the particular point based on returns measured across a first set of bands, may measure a distance of the particular point using frequencies of another band that does not interfere with the spectral properties at each of the first set of bands, and may encode the spectral properties and the distance of the particular point in a single hyperspectral dataset. The spectral signature encoded within the dataset may be used to classify the particular point or generate a point cloud or other visualization that accurately represents the spectral properties and distances of the scanned points.

Abstract: Disclosed is a system and associated methods for generating a composite image from scans or images that are aligned using invisible fiducials. The invisible fiducial is a transparent substance or a projected specific wavelength that is applied to and changes reflectivity of a surface at the specific wavelength without interfering with a capture of positions or visible color characteristics across the surface. The system performs first and second capture of a scene with the surface, and detects a position of the invisible fiducial in each capture based on values measured across the specific wavelength that satisfy a threshold associated with the invisible fiducial. The system aligns the first capture with the second capture based on the detected positions of the invisible fiducial, and generates a composite image by merging or combining the positions or visible color characteristics from the aligned captures.

Abstract: Disclosed are systems and methods for the out-of-order predictive streaming of elements from a three-dimensional (“3D”) image file so that a recipient device is able to produce a first visualization of at least a first streamed element from a particular perspective, similar to the instant transfer of two-dimensional (“2D”) images, while the additional elements and perspectives of the 3D image are streamed. The sending device prioritizes the 3D image elements based on a predicted viewing order, streams a particular element from a particular perspective with a priority that is greater than a priority associated with other elements and other perspectives, determines a next element to stream after the particular element based on the next element being positioned adjacent to the particular element and having a priority that is greater than adjacent elements, and streams the next element to the recipient device.

Abstract: An encoder is disclosed that uses hyperspectral data to produce a unified three-dimensional (“3D”) scan that incorporates depth for various points, surfaces, and features within a scene. The encoder may scan a particular point of the scene using frequencies from different electromagnetic spectrum bands, may determine spectral properties of the particular point based on returns measured across a first set of bands, may measure a distance of the particular point using frequencies of another band that does not interfere with the spectral properties at each of the first set of bands, and may encode the spectral properties and the distance of the particular point in a single hyperspectral dataset. The spectral signature encoded within the dataset may be used to classify the particular point or generate a point cloud or other visualization that accurately represents the spectral properties and distances of the scanned points.

Abstract: Disclosed is an encoding and decoding system and associated methods for producing a compressed waveform that encodes data points of a point cloud in a format and size that may be transmitted over a data network, decompressed, decoded, and rendered on a remote device without the buffering or lag associated with transmitting and rendering an uncompressed point cloud. The encoder receives a request from a remote device to access the point cloud, encodes a set of data points from the point cloud as one or more signals derived from values defined for the positional and non-positional elements of each data point from the set of data points, generates one or more compressed waveforms from compressing the one or more signals and transmits the one or more compressed waveforms to the remote device in response to the request for decompression, decoding, and image rendering.

Abstract: Provided is a system for structured and controlled movement and viewing within a point cloud. The system may generate or obtain a plurality of data points and one or more waypoints for the point cloud, present a first subset of the plurality of data points in a field-of-view of a camera at an initial position and an initial orientation of a first waypoint, change the camera field-of-view from at least one of (i) the initial position to a modified position within a volume of positions defined by orientation controls of the first waypoint or (ii) the initial orientation to a modified orientation within a range of orientations defined by the orientation controls of the first waypoint, and may present a second subset of the plurality of data points in the camera field-of-view at one or more of the modified position and the modified orientation.

Abstract: Disclosed is a three-dimensional (“3D”) scanning system that synchronizes the scanning of a scene with the viewing of the scan results relative to a live view of the scene. The system includes a first device that scans a first set of surfaces that are exposed to the first device from a first position. The system further includes a second device that receives the scan data as it is generated for each scanned surface of the first set of surfaces. The second device augments a visualization of a second set of surfaces, within a field-of-view of the second device from a second position, with the scan data that is generated for a subset of scanned surfaces from the first position corresponding to one or more surfaces of the second set of surfaces visualized from the second position.

Abstract: Disclosed is a system and associated methods for generating a composite image from scans or images that are aligned using invisible fiducials. The invisible fiducial is a transparent substance or a projected specific wavelength that is applied to and changes reflectivity of a surface at the specific wavelength without interfering with a capture of positions or visible color characteristics across the surface. The system performs first and second capture of a scene with the surface, and detects a position of the invisible fiducial in each capture based on values measured across the specific wavelength that satisfy a threshold associated with the invisible fiducial. The system aligns the first capture with the second capture based on the detected positions of the invisible fiducial, and generates a composite image by merging or combining the positions or visible color characteristics from the aligned captures.

Abstract: Disclosed are systems and methods for the out-of-order predictive streaming of elements from a three-dimensional (“3D”) image file so that a recipient device is able to produce a first visualization of at least a first streamed element from a particular perspective, similar to the instant transfer of two-dimensional (“2D”) images, while the additional elements and perspectives of the 3D image are streamed. The sending device prioritizes the 3D image elements based on a predicted viewing order, streams a particular element from a particular perspective with a priority that is greater than a priority associated with other elements and other perspectives, determines a next element to stream after the particular element based on the next element being positioned adjacent to the particular element and having a priority that is greater than adjacent elements, and streams the next element to the recipient device.

Abstract: Disclosed is an encoding and decoding system and associated methods for producing a compressed waveform that encodes data points of a point cloud in a format and size that may be transmitted over a data network, decompressed, decoded, and rendered on a remote device without the buffering or lag associated with transmitting and rendering an uncompressed point cloud. The encoder receives a request from a remote device to access the point cloud, encodes a set of data points from the point cloud as one or more signals derived from values defined for the positional and non-positional elements of each data point from the set of data points, generates one or more compressed waveforms from compressing the one or more signals and transmits the one or more compressed waveforms to the remote device in response to the request for decompression, decoding, and image rendering.

Abstract: Disclosed is a three-dimensional (“3D”) scanning system that synchronizes the scanning of a scene with the viewing of the scan results relative to a live view of the scene. The system includes a first device that scans a first set of surfaces that are exposed to the first device from a first position. The system further includes a second device that receives the scan data as it is generated for each scanned surface of the first set of surfaces. The second device augments a visualization of a second set of surfaces, within a field-of-view of the second device from a second position, with the scan data that is generated for a subset of scanned surfaces from the first position corresponding to one or more surfaces of the second set of surfaces visualized from the second position.