Abstract: A method, apparatus and computer program product are provided to generate a model of one or more objects relative to a vehicle. In the context of a method, radar information is received in the form of in-phase quadrature (IQ) data and the IQ data is converted to one or more first range-doppler maps. The method further includes evaluating the one or more first range-doppler maps with a machine learning model to generate the model that captures the detection of the one or more objects relative to the vehicle. A corresponding apparatus and computer program product are also provided.

Abstract: A method of additively manufacturing an object comprises feeding a feedstock line into a delivery guide. The feedstock line has a length and comprises a continuous flexible line. The continuous flexible line has a peripheral surface. The feedstock line further comprises a covering, releasably coupled to the peripheral surface of the continuous flexible line. The method also comprises removing the covering from the peripheral surface of the continuous flexible line before the continuous flexible line is deposited along a print path and depositing the continuous flexible line along the print path using the delivery guide.

Abstract: Systems for thermal control of additive manufacturing comprise a build volume within which a part is additively manufactured; a heat source positioned relative to the build volume and configured to actively deliver heat to discrete sections of the part as it is being additively manufactured; and a controller operatively coupled to the heat source and configured to direct delivery of heat from the heat source to discrete sections of the part as it is being additively manufactured to impart desired physical properties to the part. Methods of additively manufacturing a part comprise additively building a part from a feedstock material; and actively heating discrete sections of the part as the part is being additively built to impart desired physical properties to the part.

Abstract: A computer-implemented method is provided for detecting a dynamic object in a visual line of sight of an aircraft. The method includes implementing, by a computer system, the following operations: receiving at least two image frames; detecting a horizon within at least one of the at least two image frames; segmenting each of the at least two image frames into at least first and second search regions using the detected horizon, wherein the first search region is defined above the detected horizon in the at least two image frames and the second search region is defined below the horizon in the at least two image frames; determining, across the at least two image frames, a motion vector field within at least one of the first search region or the second search region; and identifying a detection proposal using the determined motion vector field.

Abstract: An apparatus for identifying objects receives a dataset comprising an image having first real image features; trains a neural network to recognize the first real image features in the received dataset; and performs a synthetic image augmentation to generate synthetic image features corresponding to the first real image features in the received dataset using the neural network. The synthetic image augmentation allows for improved training of a computer vision function for recognizing second real image features, corresponding to the synthetic image features, in a real-world environment.

Abstract: A system for additively manufacturing an object comprises a source of a feedstock line, a rigidizing mechanism that receives the feedstock line from the source and transforms the resin from a first at least partially uncured state to a rigid at least partially uncured state, a delivery guide that deposits the feedstock line along a print path, a feed mechanism that feeds the feedstock line through the delivery guide, a de-rigidizing mechanism that transforms the resin from the rigid at least partially uncured state to a second at least partially uncured state, and a curing mechanism that transforms the resin from the second at least partially uncured state to an at least partially cured state.

Abstract: Systems for preparing, training, and deploying a machine learning algorithm for making medical condition state determinations include at least one processing unit that includes the machine learning algorithm. The at least one processing unit is programmed to receive image input from an imaging device, receive patient health data, encode the patient health data to convert the patient health data to encoded patient health data, and transmit the encoded patient health data into the machine learning algorithm. Systems are configured to make a medical condition state determination based on the image input and the encoded patient health data, via the machine learning algorithm, and provide visual output for the medical condition state determination via a display device such that the visual output may be augmented with the patient health data. Dynamic state information also may be input to the machine learning algorithm and used to make medical condition state determinations.

Abstract: Systems for preparing, training, and deploying a machine learning algorithm for making medical condition state determinations include at least one processing unit that includes the machine learning algorithm. The at least one processing unit is programmed to receive image input from an imaging device, receive patient health data, encode the patient health data to convert the patient health data to encoded patient health data, and transmit the encoded patient health data into the machine learning algorithm. Systems are configured to make a medical condition state determination based on the image input and the encoded patient health data, via the machine learning algorithm, and provide visual output for the medical condition state determination via a display device such that the visual output may be augmented with the patient health data. Dynamic state information also may be input to the machine learning algorithm and used to make medical condition state determinations.

Abstract: A computer-implemented method for generating a training set of images and labels for a native environment includes receiving physical coordinate sets, retrieving environmental model data corresponding to a georeferenced model of the environment, and creating a plurality of two-dimensional (2-D) rendered images each corresponding to a view from one of the physical coordinate sets. The 2-D rendered images include one or more of the environmental features. The method also includes generating linking data associating each of the 2-D rendered images with (i) labels for the one or more included environmental features and (ii) a corresponding native image. Additionally, the method includes storing the training set including the 2-D rendered images, labels, corresponding native images, and linking data.

Abstract: Systems and methods for additively manufacturing composite parts are disclosed. Methods comprise combining a plurality of pre-consolidated tows to define a macro tow and dispensing the macro tow in three dimensions to define the composite part. Each pre-consolidated tow comprises a fiber tow within a non-liquid binding matrix. The combining comprises actively altering a shape and/or size of a cross-sectional profile of the macro tow along a length of the macro tow as it is being defined.

Abstract: A computer-implemented method for generating a training set of images and labels for a native environment includes receiving physical coordinate sets, retrieving environmental model data corresponding to a georeferenced model of the environment, and creating a plurality of two-dimensional (2-D) rendered images each corresponding to a view from one of the physical coordinate sets. The 2-D rendered images include one or more of the environmental features. The method also includes generating linking data associating each of the 2-D rendered images with (i) labels for the one or more included environmental features and (ii) a corresponding native image. Additionally, the method includes storing the training set including the 2-D rendered images, labels, corresponding native images, and linking data.

Abstract: A system for additively manufacturing an object comprises a source of a feedstock line, a rigidizing mechanism that receives the feedstock line from the source and transforms the resin from a first at least partially uncured state to a rigid at least partially uncured state, a delivery guide that deposits the feedstock line along a print path, a feed mechanism that feeds the feedstock line through the delivery guide, a de-rigidizing mechanism that transforms the resin from the rigid at least partially uncured state to a second at least partially uncured state, and a curing mechanism that transforms the resin from the second at least partially uncured state to an at least partially cured state.

Abstract: A computer-implemented method for generating a training image set includes retrieving, from at least one memory device, model data corresponding to a three-dimensional (3-D) model of a target object, and creating a plurality of two-dimensional (2-D) synthetic images from the model data. The 2-D synthetic images include a plurality of views of the 3-D model. The method also includes creating a plurality of semantic segmentation images by identifying a plurality of pixels that define the target object in the 2-D synthetic image, and assigning a semantic segmentation label to the identified pixels of the target object. The method further includes generating linking data associating each of the semantic segmentation labels with a corresponding one of the 2-D synthetic images, and storing the training image set including the 2-D synthetic images, the semantic segmentation labels, and the linking data.

Abstract: Systems for cure control of additive manufacturing comprise a build volume, a curing energy source, and a controller. The curing energy source is configured to actively deliver curing energy to discrete sections of a part as it is being additively manufactured. The controller is programmed to direct delivery of curing energy to impart desired cure properties to the discrete sections and/or according to predetermined cure profiles for the discrete sections. Methods of additively manufacturing a part comprise additively building a part from a feedstock material, and actively curing discrete sections of the part as it is being additively built to impart desired cure properties to the part and/or desired cure profiles to the part.

Abstract: A method of additively manufacturing an obiect comprises transforming the resin of a feedstock line from a first at least partially uncured state to a rigid at least partially uncured state, introducing the feedstock line into a delivery guide with the resin of the feedstock line in the rigid at least partially uncured state, transforming the resin of the feedstock line from the rigid at least partially uncured state to a second at least partially uncured state as the feedstock line passes through the delivery guide or as the feedstock line exits the delivery guide, depositing the feedstock line along a print path using the delivery guide, and transforming the resin of the feedstock line from the second at least partially uncured state to an at least partially cured state after the feedstock line is dispensed from the delivery guide along the print path.

Abstract: A method of additively manufacturing an object comprises applying a resin in a first non-rigid uncured state to elongate fibers to create a feedstock line, transforming the resin of the feedstock line from the first non-rigid uncured state to a rigid uncured state, introducing the feedstock line into a delivery guide with the resin of the feedstock line in the rigid uncured state, transforming the resin of the feedstock line from the rigid uncured state to a second non-rigid uncured state as the feedstock line passes through the delivery guide or as the feedstock line exits the delivery guide, depositing the feedstock line along a print path, and at least partially curing the resin of the feedstock line after the feedstock line is deposited by the delivery guide along the print path.

Abstract: A method of additively manufacturing an object comprises feeding a feedstock line into a delivery guide. The feedstock line has a length and comprises a continuous flexible line. The continuous flexible line has a peripheral surface. The feedstock line further comprises a covering, releasably coupled to the peripheral surface of the continuous flexible line. The method also comprises removing the covering from the peripheral surface of the continuous flexible line before the continuous flexible line is deposited along a print path and depositing the continuous flexible line along the print path using the delivery guide.

Abstract: Systems for additive manufacturing comprise a delivery guide configured to dispense a curable material to additively manufacture a part in sequential layers of the curable material, and a source of curing energy configured to direct the curing energy to a discrete region of the curable material forward of or at a location where a subsequent layer of the curable material is dispensed from the delivery guide against a preceding layer of the curable material to cure together the subsequent layer and the preceding layer. Methods of additively manufacturing comprise dispensing a subsequent layer of a curable material against a preceding layer of the curable material, and concurrently with the dispensing, directing curing energy to a discrete region of the curable material to cure together the subsequent layer and the preceding layer.

Abstract: A feedstock line for additively manufacturing an object. The feedstock line has a length and comprises a continuous flexible line. The continuous flexible line has a peripheral surface. The feedstock line also comprises a covering. The covering is releasably coupled to the peripheral surface of the continuous flexible line.

Abstract: An optical waveguide is configured such that when electromagnetic radiation enters a first end face of an optical core, an initial portion of the electromagnetic radiation exits the optical core via a peripheral surface, and a final portion of the electromagnetic radiation, remaining in the optical core after the initial portion of the electromagnetic radiation exits the optical core, exits the optical core via a second end face.