Abstract: There is provided a method, device and computer program for navigating an agent in a multidimensional space, the method comprising: generating a data field that spatially corresponds to a multidimensional space in which an agent resides, wherein the data field is populated with observation comparison measure data with respect to a stored observation, the stored observation including second sensor data describing an environment of a first position in the multidimensional space, wherein the generating the data field comprises: obtaining a plurality of current observations made by the agent at different respective positions in the multidimensional space, the current observations including first sensor data describing an environment of each of the different respective positions in the multidimensional space; comparing each of the current observations with the stored observation to obtain respective observation comparison measure data for the different respective positions in the multidimensional space; and popula

Abstract: A computer implemented method and system are provided for parsing a multi-dimensional space based on a series of observations and displacements performed by an agent in the space, to find an attribute of the space. The method includes making sequential observations and displacements from locations of the agent in the space, and comparing the observations and displacements to a set of stored observations and displacements to identify a hypothesis of the attribute of the space and to test the hypothesis, by obtaining an observation comparison measure, and/or a displacement comparison measure, and adjusting, maintaining or confirming the hypothesis based on the observation comparison measure and/or the displacement comparison measure.

Abstract: A computer implemented method and system are provided for parsing an environment of an agent in a multi-dimensional space, comprising: obtaining first sensor data at a first location of the agent: retrieving stored second sensor data from a second location; obtaining a plurality of first sub-regions of the first sensor data; obtaining a plurality of second sub-regions of the second sensor data; comparing the second sub-region against each first sub-region using a similarity comparison measure to determine a most similar first sub-region to the second sub-region; and determining an associated relative rotation and aggregating the relative rotations for the plurality of second sub-regions to obtain an action vector indicative of an estimated direction from the first location of the agent to the second location.

Abstract: Herein describes a system, apparatus and methods for stabilising motion data, comprising receiving data associated with the objects from one or more sources; establishing, from said data, a rotationally stable field of view using one or more techniques; encoding the stable field of view based on one or more data structures, wherein said one or more data structures comprise at least one, two or more dimensional projection; and extracting motion data from the encoded stable field of view, wherein the motion data is stabilised.

Abstract: Examples relate to detectors for determining motion from visual cues, said determining being invariant to changes in at least one of temporal and spatial frequencies of said visual cues.

Abstract: Examples relate to detectors for determining motion from visual cues, said determining being invariant to changes in at least one of temporal and spatial frequencies of said visual cues.