Intelligent Virtual Driving Experience Platform

Publication ID: 24-11857866_0008_PTD

Published: October 28, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Virtual Driving Experience Platform,” Published Technical Disclosure No. 24-11857866_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857866_0008_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,866.

Summary of the Inventive Concept

The Intelligent Virtual Driving Experience Platform integrates telematics data with AI, IoT, and blockchain technologies to create a more immersive and realistic virtual driving experience, enabling personalized character development and skill assessment.

Background and Problem Solved

The original patent disclosed systems and methods for training and applying virtual occurrences with modifiable outcomes to a virtual character using telematics data of one or more real trips. However, the patent's limitations lie in its inability to incorporate advanced technologies like AI, IoT, and blockchain to enhance the virtual driving experience. The Intelligent Virtual Driving Experience Platform addresses this limitation by integrating these technologies to provide a more comprehensive and realistic virtual driving environment.

Detailed Description of the Inventive Concept

The Intelligent Virtual Driving Experience Platform consists of several components, including a blockchain-based virtual occurrence generator, an AI-driven outcome predictor, and an IoT-enabled vehicle condition module. These components work in tandem to generate virtual occurrences, predict outcomes, and update character profiles in real-time. The platform utilizes machine learning models to generate AI-driven traffic patterns, integrates real-time IoT sensor data to simulate real-world driving scenarios, and employs a decentralized blockchain ledger to securely store and update character profiles.

Novelty and Inventive Step

The novelty of the Intelligent Virtual Driving Experience Platform lies in its synergistic combination of telematics data with AI, IoT, and blockchain technologies to create a more immersive and realistic virtual driving experience. The inventive step is the integration of these distinct technologies to provide a comprehensive and realistic virtual driving environment, which is not obvious from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the Intelligent Virtual Driving Experience Platform could include the use of other AI models, such as generative adversarial networks, to generate virtual occurrences. Additionally, the platform could be adapted for use in other virtual environments, such as gaming or simulation-based training.

Potential Commercial Applications and Market

The Intelligent Virtual Driving Experience Platform has significant commercial potential in the gaming, simulation-based training, and automotive industries. The platform's ability to provide personalized character development and skill assessment makes it an attractive solution for companies looking to enhance their virtual driving experiences.

CPC Classifications

Section	Class	Group
A	A63	A63F13/69
A	A63	A63F13/216
A	A63	A63F13/42
A	A63	A63F13/428
A	A63	A63F13/65
A	A63	A63F13/67
A	A63	A63F13/798
A	A63	A63F13/803
A	A63	A63F13/825
A	A63	A63F2300/205
A	A63	A63F2300/69
A	A63	A63F2300/8017

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Virtual simulation and gaming technologies, specifically interactive character-based driving simulation systems with emphasis on telematics data integration and dynamic scenario generation

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in computer gaming, AI simulation, machine learning, and interactive virtual environment design, typically holding a master's degree in computer science, software engineering, or related technical field with 3-5 years of experience in game development and simulation technologies

Obviousness Rationale

A person of ordinary skill would recognize that integrating blockchain, IoT, and AI technologies into the existing telematics-based virtual character simulation framework represents a predictable technological evolution. The source patent's foundational approach of generating virtual driving scenarios using character profiles naturally suggests expanding the system's technological sophistication through emerging computational paradigms. The PTD's variations represent incremental technical improvements that would be obvious to implement given the existing technological landscape and known integration techniques.

Obvious Combinations & Variations

Source Patent Element

Virtual character profile with multiple skills including steering, braking, speeding, and focus skills

PTD Variation

Expanding character profile assessment using AI-driven natural language processing and machine learning models

Obviousness Reasoning

Enhancing character skill evaluation through advanced computational techniques represents a predictable application of known machine learning approaches to existing skill assessment frameworks

Source Patent Element

Generating virtual occurrences based on telematics data

PTD Variation

Implementing blockchain-based virtual occurrence generation with decentralized secure data storage

Obviousness Reasoning

Utilizing blockchain for secure data management is a known technique in digital systems, representing an obvious technological upgrade to existing data handling methodologies

Source Patent Element

Virtual driving scenario generation using character profiles

PTD Variation

Integrating IoT sensor data and AI-generated traffic patterns to create more dynamic virtual scenarios

Obviousness Reasoning

Incorporating real-world sensor data and AI-driven simulation represents a logical extension of existing virtual environment generation techniques, yielding more sophisticated and realistic scenarios

Source Patent Element

Method for creating virtual driving obstacles and outcomes

PTD Variation

Using generative adversarial networks to create more complex and adaptive virtual driving scenarios

Obviousness Reasoning

Applying advanced machine learning techniques like GANs to scenario generation is a predictable evolution in simulation technology, representing an obvious enhancement to existing obstacle generation methods

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857866 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking non-obvious inventive merit. The incremental technological advancements represented by blockchain integration, AI-driven scenario generation, and IoT data incorporation constitute predictable extensions of existing virtual character simulation methodologies, thereby rendering potential patent claims obvious and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,866
Title	Systems and methods for training and applying virtual occurrences with modifiable outcomes to a virtual character using telematics data of one or more real trips
Assignee(s)	BLUEOWL, LLC