Abstract: Described is a method of providing an augmented reality (AR) scene of pipe inspection data, including: obtaining, using a processor, pipe inspection data derived from a pipe inspection robot that traverses through the interior of an underground pipe, the pipe inspection data including one or more sets of condition assessment data relating to an interior of the underground pipe; obtaining, using a processor, real-time visual image data of an above-ground surface; combining, using a processor, the pipe inspection data with the real-time visual image data in an AR scene; and displaying, using a display device, the AR scene. Other examples are described and claimed.

Abstract: Described is a method of providing an augmented reality (AR) scene of pipe inspection data, including: obtaining, using a processor, pipe inspection data derived from a pipe inspection robot that traverses through the interior of an underground pipe, the pipe inspection data including one or more sets of condition assessment data relating to an interior of the underground pipe; obtaining, using a processor, real-time visual image data of an above-ground surface; combining, using a processor, the pipe inspection data with the real-time visual image data in an AR scene; and displaying, using a display device, the AR scene. Other examples are described and claimed.

Abstract: Described is a method of providing an augmented reality (AR) scene of pipe inspection data, including: obtaining, using a processor, pipe inspection data derived from a pipe inspection robot that traverses through the interior of an underground pipe, the pipe inspection data including one or more sets of condition assessment data relating to an interior of the underground pipe; obtaining, using a processor, real-time visual image data of an above-ground surface; combining, using a processor, the pipe inspection data with the real-time visual image data in an AR scene; and displaying, using a display device, the AR scene. Other examples are described and claimed.

Abstract: Described is a method of providing an augmented reality (AR) scene of pipe inspection data, including: obtaining, using a processor, pipe inspection data derived from a pipe inspection robot that traverses through the interior of an underground pipe, the pipe inspection data including one or more sets of condition assessment data relating to an interior of the underground pipe; obtaining, using a processor, real-time visual image data of an above-ground surface; combining, using a processor, the pipe inspection data with the real-time visual image data in an AR scene; and displaying, using a display device, the AR scene. Other examples are described and claimed.

Abstract: One aspect provides a method of projecting pipe data into a virtual reality system, including: obtaining, using a pipe inspection robot, pipe data relating to one or more pipe segments in a pipe network; processing, using a processor, the pipe data to format the pipe data for virtual panoramic display; providing, using the processor, the formatted pipe data to a virtual reality system. Other aspects are described and claimed.

Abstract: One aspect provides a method including: receiving fluid conveyance infrastructure data at an electronic device; determining variance data for an infrastructure segment by comparing the received fluid conveyance infrastructure data to expected fluid conveyance infrastructure data; and providing at least one distribution based graphical representation based on the variance data. Other aspects are described and claimed.

Abstract: One aspect provides a method of projecting pipe data into a virtual reality system, including: obtaining, using a pipe inspection robot, pipe data relating to one or more pipe segments in a pipe network; processing, using a processor, the pipe data to format the pipe data for virtual panoramic display; providing, using the processor, the formatted pipe data to a virtual reality system. Other aspects are described and claimed.

Abstract: A data processing method is disclosed for processing hyperspectral image data of a scene. The method comprises sequentially receiving portions of the data at a data buffer to form a data set comprising a predefined number of data portions and calculating a set of global statistical parameters and data correction factors using the data forming the data set. The method further comprises receiving a further data portion at the data buffer and simultaneously removing the earliest received data portion at the data buffer, from the data set, and subsequently calculating a set of local statistical parameters using the data of the further data portion. The method further comprises updating the set of global statistical parameters using the set of local statistical parameters and correcting the data of the data portion removed from the data set using the correction factors.

Abstract: A data processing method and system are disclosed for processing hyperspectral image data of a scene for locating targets within the scene. The method comprises receiving hyperspectral image data from a scene at a receiver, the receiver comprising a plurality of receiver elements, each element being arranged to receive hyperspectral image data from a portion of the scene. The method further comprises comparing the hyperspectral image data received at each element with hyperspectral image data corresponding to known targets and assigning each element with a target label in dependence upon the comparison between the hyperspectral image data received at the element with hyperspectral image data of the known targets. The method further comprises combining elements of the receiver having the same target label, and which are located within a predefined range of each other, to determine the location of the target within the scene.