Abstract: Described herein is a computer implemented method for generating a probabilistic model usable to identify instances of a target feature in geophysical data sets stored on a memory device.

Abstract: Described herein is a method and system for characterizing in-ground rock types from measurement-while-drilling data in a mining environment. The method includes the steps of drilling holes at a plurality of selected locations within a region of interest; collecting measurements while drilling to obtain an array of data samples (162) indicative of rock hardness at various drilling depths in the drill hole locations; obtaining a characteristic measure (163) of the array of data samples; performing Gaussian Process regression (164) on the characteristic measure; and applying boundary detection (166) to the rock hardness output data obtained from the Gaussian process model to identify the distribution (280) of at least one cluster of rock type within the region of interest.

Abstract: Methods and systems are described for generating a data representation of a geographical region as an adjunct to conducting autonomous operations within the region. The method comprises receiving information specifying a plurality of localized caused zones having operation-defined geographical boundaries within the region; receiving heterogeneous data descriptive of the region; associating the received data with respective localized zones; fusing the received data associated with the localized zones into data representations of the localized zones; and integrating the data representations of the localized zones into a common data representation of the geographical region.

Abstract: Described herein is a computer implemented method for generating a probabilistic model usable to identify instances of a target feature in geophysical data sets stored on a memory device.

Abstract: Described herein is a method and system for characterizing in-ground rock types from measurement-while-drilling data in a mining environment. The method includes the steps of drilling holes at a plurality of selected locations within a region of interest; collecting measurements while drilling to obtain an array of data samples (162) indicative of rock hardness at various drilling depths in the drill hole locations; obtaining a characteristic measure (163) of the array of data samples; performing Gaussian Process regression (164) on the characteristic measure; and applying boundary detection (166) to the rock hardness output data obtained from the Gaussian process model to identify the distribution (280) of at least one cluster of rock type within the region of interest.

Abstract: A system and method are described for generating a model of an environment in which a plurality of equipment units are deployed for the extraction of at least one resource from the environment. The system comprises a pre-extraction modeling unit configured to receive data from a first plurality of heterogeneous sensors in the environment and to fuse the data into a pre-extraction model. An equipment modeling unit is configured to receive equipment data relating to the plurality of equipment units and to combine the equipment data into an equipment model. A post-extraction modeling unit is configured to receive data from a second plurality of sensors and to fuse the data into a post-extraction model. Information from the pre-extraction model, the equipment model and/or the post-extraction model is communicable to the equipment units for use in controlling operation of the equipment units in the environment.

Abstract: Methods and systems are described for generating a data representation of a geographical region as an adjunct to conducting autonomous operations within the region. The method comprises receiving information specifying a plurality of localised caused zones having operation-defined geographical boundaries within the region; receiving heterogeneous data descriptive of the region; associating the received data with respective localised zones; fusing the received data associated with the localised zones into data representations of the localised zones; and integrating the data representations of the localised zones into a common data representation of the geographical region.

Abstract: A system and method are described for generating a model of an environment in which a plurality of equipment units (104) are deployed for the extraction of at least one resource from the environment. The system comprises a pre-extraction or in-ground modelling unit (204) configured to receive data from a first plurality of heterogeneous sensors in the environment and to fuse the data into a pre-extraction model descriptive of the environment and the at least one resource. An equipment modelling unit (208) is configured to receive equipment data relating to the plurality of equipment units operating in the environment and to combine the equipment data into an equipment model. A post-extraction or out-of-ground modelling unit (206) is configured to receive data from a second plurality of sensors and to fuse the data into a post-extraction model descriptive of material extracted from the environment, wherein at least one of the equipment units operates to extract the at least one resource from the environment.