Audi Ag

Volkswagen Ag

Porsche Ag

Labrador Diagnostics LLC

Xinwei Gong

Sai Prasad Nooka

Daniel L Young

William Westrick

In a predictive path planning functionality for a transportation vehicle data describing a roadway are acquired by one or more sensors disposed on the transportation vehicle and analyzed. One or more predicted paths are predicted with at least one neural network. Data describing a reference path taken by the transportation vehicle are acquired. The one or more predicted paths are evaluated to detect one or more errors in the predicting operation wherein the one or more errors include an indication that the one or more predicted paths of the path planning system deviate from the reference path.

Corner case detection and collection for a path planning system

Devices, systems, and methods related to autonomous transportation vehicle operation may include image augmentation arrangements for training and/or evaluating autonomous operations. Such augmentations may include artificial impressions of driving conditions which can prompt recovery operations.

Autonomous transportation vehicle image augmentation

Devices, methods and systems are provided for reducing the sample volume required for analysis. Inserts placed within a sample container, and substitute sample containers having smaller volume sample chambers are provided. Methods are provided for detection and quantification of target substances in reduced volume samples. Methods include placing a small-volume of sample in a small-volume insert. Methods include diluting a small-volume sample, and placing the diluted sample in a small-volume insert. Methods include reducing the volume of sample, and: increasing illumination; increasing dye concentration or amount; increasing the amount of an enzyme substrate; increasing the amounts, concentration, or labeling of antibodies for detection; increasing optical detector sensitivity; increasing the path length of light passing through the sample; decreasing the separation between sample and detector; altering the wavelength, or polarization, or number of wavelengths, passing through the sample; increasing electronic amplification of electrical signals; altering assay temperature; and other alterations.

Devices, methods and systems for reducing sample volume

Disclosed embodiments provide systems and methods for transforming real-world images for augmentation of image data for improvement of training data sets utilized by machine learning algorithms to provide autonomous and/or assistive driving functionality.

Growing community of inventors

Mountain View, CA, United States of America

Xinwei Gong