Enhanced Virtual Vehicle Operation Systems and Methods
Legal Citation
Summary of the Inventive Concept
The inventive concept disclosed herein provides systems and methods for enhancing virtual vehicle operation in a virtual environment, addressing limitations of existing telematics-based games by incorporating real-world data and adaptive difficulty levels to create a more realistic and engaging experience.
Background and Problem Solved
The original patent described 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, these systems and methods were limited in their ability to provide a realistic and engaging experience for users. The inventive concept disclosed herein addresses these limitations by incorporating advanced analytics and machine learning techniques to generate virtual occurrences with varying levels of difficulty and unexpected outcomes, creating a more immersive and realistic experience for users.
Detailed Description of the Inventive Concept
The inventive concept comprises a telematics data analyzer configured to identify patterns in telematics data of one or more real trips, and a virtual occurrence generator configured to generate virtual occurrences with modifiable outcomes based on the identified patterns. The system further includes a trip success prediction module configured to predict the likelihood of success of a virtual trip, and a virtual trip generator configured to generate virtual trips with optimized routes and challenges based on the predicted likelihood of success. Additionally, the system includes a presenting module configured to present the virtual occurrences to the user in a way that simulates real-world driving experiences, including unexpected outcomes and adaptive difficulty levels.
Novelty and Inventive Step
The inventive concept disclosed herein provides a novel and non-obvious solution to the limitations of existing telematics-based games by incorporating advanced analytics and machine learning techniques to generate virtual occurrences with varying levels of difficulty and unexpected outcomes. The use of a trip success prediction module and a virtual trip generator to optimize virtual trip generation is a significant departure from the prior art, providing a more realistic and engaging experience for users.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept may include the use of additional data sources, such as weather or traffic data, to further enhance the realism of the virtual occurrences. Variations of the inventive concept may include the application of the systems and methods to other types of virtual environments, such as flight simulation or video games.
Potential Commercial Applications and Market
The inventive concept disclosed herein has significant commercial potential in the gaming and simulation industries, where the demand for realistic and engaging experiences is high. The systems and methods disclosed herein may be used to create a new generation of telematics-based games that are more realistic, engaging, and immersive than existing products.
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)
Field of Art
Interactive gaming systems, specifically telematics-based vehicle simulation games involving character development and virtual environment generation using real-world driving data
Person of Ordinary Skill (PHOSITA) Profile
A software engineer with expertise in game design, machine learning, and interactive simulation systems, familiar with video game development techniques, data analytics, and virtual character progression mechanics
Obviousness Rationale
A person of ordinary skill would recognize that the PTD's proposed enhancements represent predictable extensions of the source patent's core methodology of generating virtual occurrences based on real-world telematics data. The additional features like trip success prediction and adaptive difficulty levels are logical refinements that would be obvious to implement using standard machine learning and game design techniques. The variations primarily involve applying known computational approaches to enhance the existing virtual character simulation framework.
Obvious Combinations & Variations
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 |