Abstract: A system and method of remotely configuring vehicle electronics of one or more vehicles, wherein the vehicle electronics includes one or more onboard vehicle sensors.

Abstract: A system and method of carrying out a teletypewriter (TTY) call at a vehicle, the method being carried out by vehicle electronics of the vehicle, wherein the method includes: receiving a TTY configuration request at the vehicle electronics of the vehicle; configuring the vehicle to operate based on the TTY configuration request, wherein the configuring includes storing TTY configuration data at the vehicle; receiving a telephone call initiation request at the vehicle, the telephone call initiation request corresponding to a telephone call with an end user; determining whether TTY functionality is enabled or disabled at the vehicle, wherein the determination of whether the TTY functionality is enabled or disabled at the vehicle includes inspecting the TTY configuration data; and when it is determined that the TTY functionality is enabled at the vehicle, carrying out a TTY call at the vehicle.

Abstract: Methods and systems are provided for receiving local data via a vehicle sensing module of a vehicle control system, receiving remote data via a cloud interface unit of the vehicle control system from a cloud server, and processing the local data and the remote data via a processing unit of the vehicle control system. Based on the processing of the local data and the remote data, at least one vehicle feature is controlled. The local data and the remote data are associated with processing priority levels. The processing unit varies a frequency of processing based on the processing priority levels. Further provided is a cloud server for transmitting remote data to a crowd of vehicles. The cloud server comprises a first module configured to allocate vehicles to a plurality of groups based at least on location data received from the vehicles. A second module of the cloud server is configured to determine different remote data for each group.

Abstract: Methods and systems are provided for receiving local data via a vehicle sensing module of a vehicle control system, receiving remote data via a cloud interface unit of the vehicle control system from a cloud server, and processing the local data and the remote data via a processing unit of the vehicle control system. Based on the processing of the local data and the remote data, at least one vehicle feature is controlled. The local data and the remote data are associated with processing priority levels. The processing unit varies a frequency of processing based on the processing priority levels. Further provided is a cloud server for transmitting remote data to a crowd of vehicles. The cloud server comprises a first module configured to allocate vehicles to a plurality of groups based at least on location data received from the vehicles. A second module of the cloud server is configured to determine different remote data for each group.

Abstract: A method of non-destructive testing includes non-destructively testing an object over a range of test levels, directing coherent light onto the object, directly receiving the coherent light substantially as reflected straight from the object, and capturing the reflected coherent light over the range of test levels as a plurality of digital images of the object. The method also includes calculating differences between pixel values of a plurality of pairs of digital images of the plurality of digital images, and adding the pixel value differences of the plurality of pairs of digital images to yield at least one cumulative differential image.

Abstract: A method of non-destructive testing includes non-destructively testing an object over a range of test levels, directing coherent light onto the object, directly receiving the coherent light substantially as reflected straight from the object, and capturing the reflected coherent light over the range of test levels as a plurality of digital images of the object. The method also includes calculating differences between pixel values of a plurality of pairs of digital images of the plurality of digital images, and adding the pixel value differences of the plurality of pairs of digital images to yield at least one cumulative differential image.