Abstract: Methods, systems, and computer-readable media are disclosed herein for a concurrent comparative tool for assessing sub-models of a data model pipeline in a deployed or pre-deployment environment. The tool may compute a plurality of performance measures that quantitatively assess the performance of each sub-model in the data model pipeline based on a configuration file that facilitates validation of the technological performance and predictive accuracy of the sub-model. Additionally, multiple versions of a sub-model deployed in similar data model pipelines, or in a pre-deployment environment, may be comparatively evaluated. A leading version of the sub-model may be identified and deployed.

Abstract: The present disclosure relates to a system and a method for addressing an error in a localization system that includes monitoring a plurality of sensors of a driver assistance system in real-time, with each sensor generating a data stream. The method further includes identifying a sensor having an anomalous data stream and calculating a primary localization and a backup localization. The primary localization calculation includes the anomalous data stream and the backup localization calculation does not include the anomalous data stream. Further, the method includes executing an action when the backup localization error estimate exceeds a threshold.

Abstract: A screen sharing session of a host computing device is detected. The screen sharing session includes a first video stream of a graphical user interface. The screen sharing session is directed to a set of one or more target computing devices. The screen sharing session is monitored for a set of one or more content elements. A first content element of the set of content elements in the first video stream is identified in response to the monitoring. The identification is based on the screen sharing session. The first video stream is intercepted in response to the identification of the first content element. Based on the first content element, the first video stream is altered.

Abstract: The modified polyethylene terepthalate is a copolymer formed from terephthalic acid or its ester, ethylene glycol, a flexible long chain aliphatic dicarboxylic acid or its ester, and a hydroxy terminated polyether polyol or acyclic diol or aliphatic diol. The modified polyethylene terephthalate filament, staple fiber, yarn and resultant fabric is dyeable with a disperse dye without dye carrier at low temperature of about 100° C. The dyed filament, staple fiber, yarn and resultant fabric has a dye index greater than 100, and preferably at least about 120 to 600 with controlled shrinkage of 6 to 10%.