Microsoft Technology Licensing, LLC

Nvidia Corporation

Jacob Meyer

Jean-Pierre Duplessis

Scott Robert Marison

David Nister

Joachim Pehserl

Tilman Wekel

Craig Symonds

Tracey Trewin

Allen Wayne Denver

Boris S Jabes

Grant Monroe

Anton Mitrokhin

Richard Whitcomb

Jake Guza

Tito Pagán

Chris Lovett

Marco Scoffier

An annotation pipeline may be used to produce 2D and/or 3D ground truth data for deep neural networks, such as autonomous or semi-autonomous vehicle perception networks. Initially, sensor data may be captured with different types of sensors and synchronized to align frames of sensor data that represent a similar world state. The aligned frames may be sampled and packaged into a sequence of annotation scenes to be annotated. An annotation project may be decomposed into modular tasks and encoded into a labeling tool, which assigns tasks to labelers and arranges the order of inputs using a wizard that steps through the tasks. During the tasks, each type of sensor data in an annotation scene may be simultaneously presented, and information may be projected across sensor modalities to provide useful contextual information. After all annotation tasks have been completed, the resulting ground truth data may be exported in any suitable format.

Ground truth data generation for deep neural network perception in autonomous driving applications

A materials trouble shooter is provided for use with 3D models in computer graphics. An error texture is displayed that is distinguishable from textures without errors. If a texture is missing or is applied incorrectly to the 3D model, an error texture is displayed using an error shader instead of a regular shader for the texture for which an error in loading or application has been detected.

Material trouble shooter

Interrelated items in a complex item set (such as a set of components in a complex software architecture) may be difficult to present in a manner that facilitates an understanding and evaluation of the item set, due to the amount of information and the difficulty in automatically discerning the organization of the item set. A set of criteria may be utilized to form criterion groups to which items matching respective criteria may be automatically assigned. Further grouping assignments may be achieved by identifying an ungrouped item that is associated with a grouped item. Such techniques may be applied in many variations to yield a representation of the item set, and a presentation of the item set to a user, that aggregates similar items and interrelationships, thereby promoting an understanding and analysis of the structure and organization of the item set while reducing the user involvement in the generation of same.

Automated criterion-based grouping and presenting

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Honolulu, HI, United States of America

Jacob Meyer