Abstract: A system for vehicle navigation is provided. The system includes at least one processing circuitry programmed to receive via a data interface one or more images captured by one or more cameras representative of an environment of a vehicle, identify, based on analysis of the one or more images, at least one direction of at least one directional arrow on a road surface in the one or more images, determine a direction of travel for the vehicle based on the at least one direction of the at least one directional arrow on the road surface, determine at least one navigational action for the vehicle based on the determined direction of travel for the vehicle, and cause one or more actuator systems of the vehicle to implement the determined at least one navigational action for the vehicle.

Abstract: Systems and methods are provided for training and using a model to predict image blockages. In one implementation, a system may comprise at least one processor. The at least one processor may be programmed to obtain a plurality of training images, each of the plurality of training images being associated with a blockage indicator representing a presence of a blockage or an absence of a blockage; analyze intensities of pixels located at corresponding pixel coordinates of the plurality of training images; and cause the model to undergo at least one training process based on the plurality of training images, the blockage indicator associated with each of the plurality of training images, and the analysis of the intensities of the pixels.

Abstract: The present disclosure provides at least an apparatus for a depth enhanced image editing. In an example, the apparatus includes memory; instructions; and processor circuitry to execute the instructions to: obtain image information, the image information including edited image data, edited calibration data, and unedited original depth data; and align the original depth data to the edited image data based on the edited calibration data.

Abstract: An example system disclosed herein includes a camera to: capture a first image set of a first view of an object when the camera is in a first position, the first image set including first infrared data and first RGB data; capture a second image set of a second view of the object when the camera is in a second position, the second image set including second infrared data and second RGB data; and capture a third image set of a third view of the object when the camera is in a third position, the third image set including third infrared data and third RGB data.

Abstract: The present disclosure provides at least an apparatus for a depth enhanced image editing. In an example, the apparatus includes memory; instructions; and processor circuitry to execute the instructions to: obtain image information, the image information including edited image data, edited calibration data, and unedited original depth data; and align the original depth data to the edited image data based on the edited calibration data.

Abstract: The present disclosure provides at least an apparatus for a depth enhanced image editing. In an example, the apparatus includes a processor and a storage, comprising instructions that when executed with the processor cause the apparatus to store a received depth enhanced image. In an example, the depth enhanced image comprises image data, depth data, and calibration data. The apparatus may apply an edit to the image data and the calibration data without editing the depth data in response to a request for an image edit. The apparatus may further return an edited depth enhanced image.

Abstract: A system for vehicle navigation is provided. The system includes at least one processing circuitry programmed to receive via a data interface one or more images captured by one or more cameras representative of an environment of a vehicle, identify, based on analysis of the one or more images, at least one direction of at least one directional arrow on a road surface in the one or more images, determine a direction of travel for the vehicle based on the at least one direction of the at least one directional arrow on the road surface, determine at least one navigational action for the vehicle based on the determined direction of travel for the vehicle, and cause one or more actuator systems of the vehicle to implement the determined at least one navigational action for the vehicle.

Abstract: An example system disclosed herein includes a camera to: capture a first image set of a first view of an object when the camera is in a first position, the first image set including first infrared data and first RGB data; capture a second image set of a second view of the object when the camera is in a second position, the second image set including second infrared data and second RGB data; and capture a third image set of a third view of the object when the camera is in a third position, the third image set including third infrared data and third RGB data.

Abstract: A method to provide transfer of data without the use of a network from an application program to an embedded device. A routing service establishes a communication channel without the use of a local area network. The routing service then manages the control of this communication channel for the transfer of data and closes the channel in an appropriate period.

Abstract: A system for mapping a lane mark for use in autonomous vehicle navigation is provided. The system includes at least one processor programmed to: receive two or more location identifiers associated with a detected lane mark; associate the detected lane mark with a corresponding road segment; update an autonomous vehicle road navigation model relative to the corresponding road segment based on the two or more location identifiers associated with the detected lane mark; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

Abstract: A method to provide transfer of data without the use of a network from an application program to an embedded device. A routing service establishes a communication channel without the use of a local area network. The routing service then manages the control of this communication channel for the transfer of data and closes the channel in an appropriate period.

Abstract: Methods, apparatus, systems and articles of manufacture to prepare a set of equations for a successive over relaxation processor are disclosed. An example apparatus includes an identifier to identify a set of equations that corresponds to pixels of an input image. Example apparatus also include a partitioner to divide the set of equations into partitions that contain mutually independent subsets of the equations and a collector to collect the subsets of the set of equations into groups, based on the partitions, to be solved in parallel by the successive over relaxation processor.

Abstract: An electronic device for quantifying parallax motion is described. The electronic device includes a detecting unit to detect at least three fiducial markers in an image with parallax, wherein the at least three fiducial markers are part of a straight line in an input image; an estimating unit to estimate a best fit line to a curved line formed by the at least three fiducial markers, wherein the curved line is a result of parallax applied to the input image; a calculating unit to calculate an error between the best fit line and the curved line formed by the at least three fiducial markers; and a comparing unit to compare the error to a threshold limit.

Abstract: A method to provide transfer of data without the use of a network from an application program to an embedded device. A routing service establishes a communication channel without the use of a local area network. The routing service then manages the control of this communication channel for the transfer of data and closes the channel in an appropriate period.

Abstract: A method to provide transfer of data without the use of a network from an application program to an embedded device. A routing service establishes a communication channel without the use of a local area network. The routing service then manages the control of this communication channel for the transfer of data and closes the channel in an appropriate period.

Abstract: An example apparatus for classifying target objects using three-dimensional geometric filtering includes a patch receiver to receive patches with objects to be classified. The apparatus also includes a geometric filter to filter out patches including objects with sizes outside a target range using three dimensional geometry to generate filtered patches. The apparatus further includes a background remover to remove background pixels from the filtered patches to generate preprocessed patches. The apparatus includes a classification score calculator to calculate a classification score for each of the preprocessed patches.

Abstract: Methods, apparatus, systems and articles of manufacture to prepare a set of equations for a successive over relaxation processor are disclosed. An example apparatus includes an identifier to identify a set of equations that corresponds to pixels of an input image. Example apparatus also include a partitioner to divide the set of equations into partitions that contain mutually independent subsets of the equations and a collector to collect the subsets of the set of equations into groups, based on the partitions, to be solved in parallel by the successive over relaxation processor.

Abstract: A method to provide transfer of data without the use of a network from an application program to an embedded device. A routing service establishes a communication channel without the use of a local area network. The routing service then manages the control of this communication channel for the transfer of data and closes the channel in an appropriate period.

Abstract: An example apparatus for classifying target objects using three-dimensional geometric filtering includes a patch receiver to receive patches with objects to be classified. The apparatus also includes a geometric filter to filter out patches including objects with sizes outside a target range using three dimensional geometry to generate filtered patches. The apparatus further includes a background remover to remove background pixels from the filtered patches to generate preprocessed patches. The apparatus includes a classification score calculator to calculate a classification score for each of the preprocessed patches.

Abstract: The present disclosure provides at least an apparatus for a depth enhanced image editing. In an example, the apparatus includes a processor and a storage, comprising instructions that when executed with the processor cause the apparatus to store a received depth enhanced image. In an example, the depth enhanced image comprises image data, depth data, and calibration data. The apparatus may apply an edit to the image data and the calibration data without editing the depth data in response to a request for an image edit. The apparatus may further return an edited depth enhanced image.