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 method for modelling a dataset includes a training phase, wherein the dataset is applied to a non-stationary Gaussian process kernel in order to optimize the values of a set of hyperparameters associated with the Gaussian process kernel, and an evaluation phase in which the dataset and Gaussian process kernel with optimized hyperparameters are used to generate model data. The evaluation phase includes a nearest neighbour selection step. The method may include generating a model at a selected resolution.
Abstract:
Methods and systems are described for effecting autonomous operations within a defined geographical region (1110). A plurality of localized zones (1102, 1104, 1106, 1108) having operation-defined geographical boundaries are specified within the region. A plurality of control modules are established associated with respective ones of the localized zones and autonomous operations are effected under the supervisory control of the control module associated with the localized zone in which the autonomous operation occurs. The geographical disposition of the boundary of at least one of the localized zones is varied within the defined geographical region.
Abstract:
Autonomous operations are conducted within a defined geographical region. In an autonomous system of a management party a plurality of localized zones are established having operation-defined geographical boundaries within the geographical region. Entities having autonomous operating systems to perform specific autonomous operations within respective ones of the localized zones. The autonomous system of the management party is integrated with the autonomous operating systems of the entities.
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:
Methods and systems are described for tracking material through a production chain or operational process chain in which the material is transferred via a plurality of spatially distinct lumped masses of material (12, 14, 16, 18). A dynamic state space (430) is maintained descriptive of the plurality of spatially distinct lumped masses of material, wherein a quantity of entries in the dynamic state space is augmented or diminished dependent on a quantity of spatially distinct lumped masses being tracked. Measurements relating to an observed lumped mass of material are fused into the dynamic state space and a dynamic covariance matrix to provide an updated estimate of material in the plurality of spatially distinct lumped masses of material.
Abstract:
A method is described of regulating movement of an autonomous entity between a first zone (904) and a second zone (901), wherein the first and second zones each have an operation-defined geographical boundary within a defined geographical region. The autonomous entity is instructed to move into a transition zone (906, 907) that spans the first zone and the second zone, wherein the autonomous entity while located in the first zone is responsive to supervisory control of a first controller (912) associated with the first zone. The autonomous entity is registered with a second controller (910) associated with the second zone to enable the autonomous entity to respond to supervisory control of the second controller as the autonomous entity enters the second zone through the transition zone. The autonomous entity is de-registered from the first controller.
Abstract:
Described herein is a method and system for vehicle localization in an open pit mining environment having intermittent or incomplete GPS coverage. The system comprises GPS receivers associated with the vehicles and providing GPS measurements when available, as well as one or more cameras 50,55 overlooking the mine region 10. The cameras 50,55 are at a known location and are used for generating a sequence of images in a field of view with predetermined calibration in a fixed coordinate system. The system further comprises a vehicle recognition processor 120 for analyzing individual images from the camera to identify and locate within an image a vehicle in the mine region, as well as a vehicle tracking processor 130 for analyzing a sequence of images from the camera to track the identified vehicle location in the sequence of images. A data fusion processor 160 is coupled to receive GPS measurements, when available, from the vehicle GPS receivers, to fuse the received GPS measurement and corresponding vehicle image location, and to output a vehicle localization output 125.
Abstract:
A method is described of regulating movement of an autonomous entity between a first zone (904) and a second zone (901), wherein the first and second zones each have an operation-defined geographical boundary within a defined geographical region. The autonomous entity is instructed to move into a transition zone (906, 907) that spans the first zone and the second zone, wherein the autonomous entity while located in the first zone is responsive to supervisory control of a first controller (912) associated with the first zone. The autonomous entity is registered with a second controller (910) associated with the second zone to enable the autonomous entity to respond to supervisory control of the second controller as the autonomous entity enters the second zone through the transition zone. The autonomous entity is de-registered from the first controller.
Abstract:
Described herein is a system and a method of spatial field estimation from input data from a domain of interest. The method comprises defining a spatial mesh of positions over the domain of interest (802) and defining a smoothness information model (804) which is defined with respect to the spatial mesh to form an information matrix Y1 and vector y1. The method further comprises defining an information representation of the input data, the information representation comprising an information matrix Yobs and vector y, both defined relative to the spatial mesh. The method further comprises through an additive function fusing (806) the smoothness information model with the information representation of the input data to form an information matrix Y and vector y. The method then comprises, in a computational system, solving for x in Yx=y (808), wherein x represents the spatial field estimation.
Abstract translation:这里描述的是从感兴趣域的输入数据中进行空间场估计的系统和方法。 该方法包括定义感兴趣域(802)上的位置的空间网格,并且定义相对于空间网格定义的平滑信息模型(804)以形成信息矩阵Y1和向量y1。 该方法还包括定义输入数据的信息表示,信息表示包括相对于空间网格定义的信息矩阵Yobs和向量y。 该方法还包括通过加和函数将平滑信息模型与输入数据的信息表示融合(806)以形成信息矩阵Y和向量y。 该方法然后包括在计算系统中求解Y x = y(808)中的x,其中x表示空间场估计。