Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a classification neural network. The system generates, from a set of object-specific data, one or more meta-learning datasets for one or more respective initial training tasks. The system determines values for a set of meta parameters by performing meta-learning with a classification neural network on the one or more meta-learning datasets. The system obtains a set of labeled training examples for a characteristic-detection task. The system determines based at least on one of the values for the set of meta parameters and using the set of labeled training examples, target values for the network parameters for the classification neural network to perform the characteristic-detection task.

Abstract: Computer-implemented methods and systems of detecting curbs include receiving a cloud of three-dimensional (3D) data points acquired along street locations. A plurality of vertical scanlines (e.g., arrays of 3D data points obtained at given horizontal locations) are identified within the cloud of 3D data points. One or more curb points indicating the potential presence of a curb in the plurality of vertical scanlines are identified. A synthesized set of non-overlapping curb curves are generated in order to close gaps between certain curb points while removing certain other outlier curb points. Successive curb curves in the synthesized set of non-overlapping curb curves are then identified as belonging to one or more curb segments.

Abstract: Computer-implemented methods and systems of detecting and modeling curbs include receiving a cloud of three-dimensional (3D) data points acquired along street locations. A plurality of vertical scanlines (e.g., arrays of 3D data points obtained at given horizontal locations) are identified within the cloud of 3D data points. One or more curb points indicating the potential presence of a curb in the plurality of vertical scanlines are identified. A synthesized set of non-overlapping curb curves are generated in order to close gaps between certain curb points while removing certain other outlier curb points. Successive curb curves in the synthesized set of non-overlapping curb curves are then identified as belonging to one or more curb segments. A curb model that fits each of the one or more curb segments to one or more curb model shape representations can then be generated.

Abstract: Computer-implemented methods and systems of detecting and modeling curbs include receiving a cloud of three-dimensional (3D) data points acquired along street locations. A plurality of vertical scanlines (e.g., arrays of 3D data points obtained at given horizontal locations) are identified within the cloud of 3D data points. One or more curb points indicating the potential presence of a curb in the plurality of vertical scanlines are identified. A synthesized set of non-overlapping curb curves are generated in order to close gaps between certain curb points while removing certain other outlier curb points. Successive curb curves in the synthesized set of non-overlapping curb curves are then identified as belonging to one or more curb segments. A curb model that fits each of the one or more curb segments to one or more curb model shape representations can then be generated.

Abstract: Systems and methods for reducing a point cloud data set are provided. According to aspects of the present disclosure, a method includes receiving a point of a point cloud data set, the point having three-dimensional coordinates. The point's coordinates are mapped to a location to determine whether a different point's coordinates have already been mapped to the location. The point is discarded when a different point's coordinates have been mapped to the location.

Abstract: The aspects described herein relate to replacing pixels in images in order to remove obstructions from images. In one example, an image of a scene having symmetrical features and image information identifying at least one pixel of the image corresponding to a hole to be filled may be received. This hole may correspond to an obstruction in the image. A set of symmetry axes may be identified based on the symmetrical features. A symmetry map identifying correspondences between different pixels in the image based on the set of symmetry axes may be generated. A correspondence between the at least one pixel corresponding to a hole to be filled and a second pixel of the image is identified based at least in part on the symmetry map and the image information. The at least one pixel may be altered based on the identified correspondence in order to remove the obstruction.

Abstract: Systems and methods for reducing a point cloud data set are provided. According to aspects of the present disclosure, a method includes receiving a point of a point cloud data set, the point having three-dimensional coordinates. The point's coordinates are mapped to a location to determine whether a different point's coordinates have already been mapped to the location. The point is discarded when a different point's coordinates have been mapped to the location.

Abstract: A system and method for preparing for distribution to, distributing to and/or use by one or more devices broadband data associated with intelligence information garnered from an aerial vehicle (“AV”): The method may include obtaining from sensors coupled to the AV video depicting an area of surveillance, obtaining metadata associated with the video, aligning, temporally, the video and metadata, using reference information to align, spatially, the video and metadata, forming for distribution to the at least one device enhanced metadata as a function of the video, metadata and reference information, wherein the enhanced metadata is operable to enable displaying at the devices at least a portion of the video, whereby after receiving a distribution of the enhanced metadata, the devices are operable to display such portion of the video.

Abstract: A system and method for preparing for distribution to, distributing to and/or use by one or more devices broadband data associated with intelligence information garnered from an aerial vehicle (“AV”): The method may include obtaining from sensors coupled to the AV video depicting an area of surveillance, obtaining metadata associated with the video, aligning, temporally, the video and metadata, using reference information to align, spatially, the video and metadata, forming for distribution to the at least one device enhanced metadata as a function of the video, metadata and reference information, wherein the enhanced metadata is operable to enable displaying at the devices at least a portion of the video, whereby after receiving a distribution of the enhanced metadata, the devices are operable to display such portion of the video.

Abstract: A method and system for improving the accuracy and timeliness of video metadata by incorporating information related to the motion of the camera as derived from the video imagery itself. Frame-to-frame correspondences are used to accurately estimate changes in camera pose. While the method and system do not require geo-registration, geo-registration results, if available, may be considered in processing the video images and generating improved camera pose estimates.