Woven Planet North America, Inc.

Renovo Motors, Inc.

Woven by Toyota, U.s., Inc.

Owen Davis

Christopher Heiser

Ioannis Petousis

Anand Ramesh

Khalid Azam

Jason Stinson

Stefan Gloutnikov

Kevin Phillips

Trilok Agarwal

Harry Chan-Maestas

System, methods, and other embodiments described herein relate to improving data offloading in a mobile context by using indexes of the data to identify distributed devices that may include the data and selectively querying identified devices for the data. In one embodiment, a method includes, responsive to receiving a query for selected data stored among one or more distributed devices, identifying, by a query device, at least one target device of the distributed devices that matches the selected data using an index of vehicle data stored on the distributed devices. The method includes providing, by the query device, a request to the at least one target device to cause the at least one target device to retrieve the selected data stored locally at the target device. The method includes receiving the selected data from the target device. The method includes providing the selected data as an electronic output.

Indexing sensor data about the physical world

A system and method that enables resource analysis within an intelligent content absorption network with autonomous mobility implementations includes generating a prioritization model, training the prioritization model on a data corpus to generate a prioritization schedule, deploying the prioritization schedule to one or more autonomous vehicles, offloading data at a local content absorption node, processing data at the local content absorption node, and optionally transmitting data results from the processed data.

Systems and methods for providing resource analysis for autonomous mobility on demand

A system and method that includes collecting vehicle sensor data, wherein prioritizing vehicle sensor data includes identifying a level of importance for each of a plurality of vehicle sensor data types included in the vehicle sensor data; generating a vehicle sensor data schedule, wherein generating the vehicle data schedule includes one or more of (i) identifying a transmission order for each of the plurality of vehicle sensor data types and (ii) identifying a storage scheme selected from a hierarchy of data storage types for each of the plurality of vehicle sensor data types; transforming vehicle sensor data into message data, wherein the transforming includes selectively converting one or more of the vehicle sensor data types of the vehicle sensor data to a messaging format based on the prioritization; and transmitting, via one or more selected communication networks, the message data according to the vehicle sensor data schedule.

Systems and methods for processing vehicle sensor data

A system and method that enables autonomous mobility implementations to prioritize, offload, and process data in an efficient manner includes generating a prioritization model, training the prioritization model on a data corpus to generate a prioritization schedule, deploying the prioritization schedule to one or more autonomous vehicles, offloading data at a local content absorption node, processing data at the local content absorption node, and optionally transmitting data results from the processed data.

Systems and methods for prioritizing data for autonomous mobility on demand

Growing community of inventors

Campbell, CA, United States of America

Owen Davis