Interactive Driving Environment Stories via Learning Model
Summary
USPTO published patent application US20260091321A1 disclosing a system and method for generating interactive stories about driving environments using a learning model. The invention acquires sensor data from vehicles, contextual cues about occupants, and their preferences to generate and dynamically adjust interactive virtual driving stories displayed within the vehicle. Application No. 18902256 was filed on September 30, 2024.
What changed
The USPTO published patent application US20260091321A1 on April 2, 2026, disclosing a system and method for generating interactive driving environment stories using a machine learning model. The invention acquires sensor data from a vehicle, contextual cues about occupants, and preferences associated with those occupants for a vehicle trip. A learning model processes this data to generate an interactive story and virtual driving environment. The system continuously monitors engagement factors and adjusts the story content with augmented information when engagement parameters are unsatisfied.
Patent applications do not impose compliance obligations on regulated entities. This publication serves as prior art notice and informational purposes for parties developing in-vehicle entertainment systems, automotive manufacturers, and AI/machine learning developers in the automotive sector. No action is required from compliance officers.
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Apr 2, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
SYSTEMS AND METHODS FOR GENERATING AN INTERACTIVE STORY ABOUT A DRIVING ENVIRONMENT USING A LEARNING MODEL
Application US20260091321A1 Kind: A1 Apr 02, 2026
Inventors
Tyler La Monda, Alexander Charles Granieri
Abstract
Systems, methods, and other embodiments described herein relate to generating and adjusting an interactive story about a driving environment using a learning model that factors trip features and an engagement factor. In one embodiment, a method includes acquiring sensor data from a vehicle, a contextual cue about occupants, and a preference associated with the occupants for a vehicle trip. The method also includes generating an interactive story and a driving environment that is virtual using a learning model from the sensor data, the contextual cue, and the preference. The method also includes adjusting the interactive story and the driving environment with augmented information using the learning model for display within the vehicle upon a comparison result of a parameter for the interactive story and the driving environment to an engagement factor being unsatisfied.
CPC Classifications
A63G 31/02 G06N 3/08
Filing Date
2024-09-30
Application No.
18902256
Named provisions
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