Gm Global Technolgoy Operations, Inc.

Susan H Owen

Chin-Hsu Lin

Alok Warey

Dnyanesh Rajpathak

Sean T Coughlin

Mitesh Lalwala

Joseph A Donndelinger

A vehicle event database includes simulation-based vehicle event metadata associated with a vehicle architecture. The metadata is generated by determining vehicle event pulses, applying the vehicle event pulses to a vehicle simulation model, collecting injury data associated with body regions of a simulated occupant within the vehicle simulation model, and predicting a probability of injury to the body regions of an actual occupant of a vehicle having the vehicle architecture based on the injury data. A vehicle event notification is received from a vehicle. Vehicle data and occupant data are received. The simulation-based vehicle event metadata associated with the vehicle architecture of the vehicle is retrieved from the vehicle event database. An injury to a first body region of the body regions of the actual occupant is predicted based on the vehicle data, the occupant data, and the simulation-based vehicle event metadata using an injury prediction model.

Systems and methods for predicting post-event vehicle occupant injury

A system, for filtering and fusing multi-source ontologies. The system includes a tangible processing controller unit and non-transitory computer-readable storage device in communication with the tangible processing controller unit. The storage device includes a first receiving unit that, when executed by the tangible processing control unit, receives a plurality of ontologies, each ontology having a set of rules and a class structure with a plurality of data classes. The storage device also includes a second receiving unit that, when executed, receives data. The device also includes a comparison unit that compares the data classes from the plurality of ontologies, and a merging unit that merges the data classes that are identical or consistent into a new data class. The storage device also includes a discarding unit that discards the data classes that are inconsistent. The storage device also includes a new-set-generation unit that generates a new set of class structure.

Methodology for generating a consistent semantic model by filtering and fusing multi-source ontologies

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Bloomfield, MI, United States of America

Susan H Owen