Audi Ag

Volkswagen Ag

Porsche Ag

Sai Prasad Nooka

Xinwei Gong

Nikhil J George

Mohak Prafulkumar Bhimani

Nikhil George

Devices, systems, and methods related to prediction of tire performance using existing CAN data to improve overall vehicle performance. Machine learning tools are applied to CAN data, for example pilot data and/or vehicle dynamics data, to predict tire performance factors for use in a vehicle control system to provide vehicle lateral guidance control.

Real-time performance handling virtual tire sensor

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.

Growing community of inventors

Foster City, CA, United States of America

Sai Prasad Nooka