Abstract: Systems and methods are provided for vehicle navigation. In one implementation, at least one processing device may receive, from a camera of the host vehicle, at least one captured image representative of an environment of the host vehicle. The processing device may analyze one or more pixels of the at least one captured image to determine whether the one or more pixels represent at least a portion of a target vehicle. For pixels determined to represent at least a portion of the target vehicle, the processing device may determine one or more estimated distance values from the one or more pixels to at least one edge of a face of the target vehicle; and generate, based on the analysis of the one or more pixels, including the determined one or more distance values associated with the one or more pixels, at least a portion of a boundary relative to the target vehicle.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, at least one processing device may receive, from a camera of the host vehicle, at least one captured image representative of an environment of the host vehicle. The processing device may analyze one or more pixels of the at least one captured image to determine whether the one or more pixels represent at least a portion of a target vehicle. For pixels determined to represent at least a portion of the target vehicle, the processing device may determine one or more estimated distance values from the one or more pixels to at least one edge of a face of the target vehicle; and generate, based on the analysis of the one or more pixels, including the determined one or more distance values associated with the one or more pixels, at least a portion of a boundary relative to the target vehicle.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a navigation system for a host vehicle may comprise at least one processor. The processor may be programmed to receive from a camera onboard the host vehicle a plurality of captured images representative of an environment of the host vehicle. The processor may provide each of the plurality of captured images to a target object analysis module including at least one trained model configured to generate an output for each of the plurality of captured image. The processor may receive from the target object analysis module the generated output. The processor may further determine at least one navigational action to be taken by the host vehicle based on the output generated by the target object analysis module. The processor may cause the at least one navigational action to be taken by the host vehicle.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, at least one processing device may receive, from a camera of the host vehicle, at least one captured image representative of an environment of the host vehicle. The processing device may analyze one or more pixels of the at least one captured image to determine whether the one or more pixels represent at least a portion of a target vehicle. For pixels determined to represent at least a portion of the target vehicle, the processing device may determine one or more estimated distance values from the one or more pixels to at least one edge of a face of the target vehicle; and generate, based on the analysis of the one or more pixels, including the determined one or more distance values associated with the one or more pixels, at least a portion of a boundary relative to the target vehicle.

Abstract: A method for three-dimensional interactive segmentation, including: receiving a three-dimensional medical image of an interior volume of a patient's body; automatically performing three dimensional segmentation on the three dimensional medical image to detect and define a region of interest, wherein the performing of the three dimensional segmentation comprises automatically determining a boundary defining the region of interest; receiving from a user spatial information indicating one or more regions of disagreement in the three-dimensional medical image with respect to the determined boundary; and updating the three dimensional segmentation of the three dimensional medical image based on the spatial information received from the user, wherein the updating comprises updating the determined boundary based on the spatial information to redefine the area of interest.

Abstract: A method for three-dimensional interactive segmentation, including: receiving a three-dimensional medical image of an interior volume of a patient's body; automatically performing three dimensional segmentation on the three dimensional medical image to detect and define a region of interest, wherein the performing of the three dimensional segmentation comprises automatically determining a boundary defining the region of interest; receiving from a user spatial information indicating one or more regions of disagreement in the three-dimensional medical image with respect to the determined boundary; and updating the three dimensional segmentation of the three dimensional medical image based on the spatial information received from the user, wherein the updating comprises updating the determined boundary based on the spatial information to redefine the area of interest.