Abstract: Training sets of images used for training machine vision systems for object recognition may be augmented via various training set augmentation methods. The machine vision systems trained via the augmented training sets may be further used in an augmented reality procedural guidance system for guiding an operator to complete one or more steps with respect to one or more objects. The training set augmentations may include one or more of an object motion augmentation, a camera motion augmentation, an object herding or clumping augmentation, an object size reduction augmentation, a diversified background augmentation, and a diversified background augmentation with synthetic background images. In some instances, machine vision systems may also be alternatively or concurrently trained to use optically distinguishable markers to recognize objects.

Abstract: Systems, apparatuses, and methods disclosed provide for service assessment. The method includes receiving at least one fault code of an engine control unit (ECU); determining at least one root cause based on the at least one fault code of the ECU; determining an estimated labor time for fixing the at least one root cause; and outputting the at least one root cause and the estimated labor time to a display.

Abstract: According to one representative embodiment, an apparatus disclosed herein includes a regeneration event timing module, an engine speed module, an exhaust gas temperature module, and a thermal management module. The regeneration event timing module is configured to determine a regeneration event timing strategy for implementation during extended idling of the engine. The regeneration event timing strategy includes a first time period and a second time period following the first time period. The engine speed module is configured to determine a desired engine speed for the second time period and operate the engine at the desired engine speed during the second time period. The desired engine speed is greater than an idling engine speed associated with the first time period. The exhaust gas temperature module is configured to determine a desired particulate matter filter inlet exhaust gas temperature.

Abstract: One embodiment is a method including a unique soot loading metric. The method includes treating exhaust with a soot filter, sensing information including a pressure differential of the soot filter, a temperature of the soot filter, an ambient pressure, an air flow, and a fuel flow, evaluating the information to determine a value, and commanding a regeneration of the soot filter based upon the evaluating. The evaluating the information to determine the value accounts for a first contribution to the pressure differential attributable to laminar flow wall friction and a second contribution to the pressure differential attributable to turbulent flow. Another embodiment is a system including a unique soot loading metric.

Abstract: According to one representative embodiment, an apparatus disclosed herein includes a regeneration event timing module, an engine speed module, an exhaust gas temperature module, and a thermal management module. The regeneration event timing module is configured to determine a regeneration event timing strategy for implementation during extended idling of the engine. The regeneration event timing strategy includes a first time period and a second time period following the first time period. The engine speed module is configured to determine a desired engine speed for the second time period and operate the engine at the desired engine speed during the second time period. The desired engine speed is greater than an idling engine speed associated with the first time period. The exhaust gas temperature module is configured to determine a desired particulate matter filter inlet exhaust gas temperature.

Abstract: One embodiment is a method including a unique soot loading metric. Further embodiments, forms, objects, features, advantages, aspects, and benefits shall become apparent from the following description and drawings.