Hybrid Race Environment Control Using Real Vehicle Telemetry
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Solution Overview
Problem
Existing systems for player-controlled virtual representations of motorised sporting events are non-scalable, unrealistic, and lack the ability to enable mass engagement of multiple players and followers with real-time, high-accuracy vehicle tracking, leading to limited interaction and immersion in live motor sports events.
Innovation Solution
A computer-implemented method that combines real-time kinematic and control data from real vehicles with user-generated data to create an interactive hybrid environment, allowing multiple virtual vehicles to interact realistically with real vehicles, enabling mass gaming and competitive scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single high-altitude IR sensor is used to track all vehicles, then the system structure is simple, but the field of view is obstructed by vegetation, grandstands, buildings and other structures
Solution Approach 1:
The patent divides the tracking system into multiple distributed sensor units positioned at ground level along the track, each sensor independently tracking vehicles in its local field of view. This segmentation eliminates the line-of-sight obstruction problem of single high-altitude sensors while maintaining system manageability through modular architecture.
Solution Approach 2:
The patent introduces a central server as an intermediary that receives tracking data from multiple distributed sensors and consolidates the information to create a comprehensive view of all vehicles. This intermediary approach allows ground-level sensors to overcome obstructions by aggregating data from multiple vantage points.
2Productivity
If virtual car performance is determined by software models, then the simulation can run, but the physics-based models deviate quickly from reality due to approximations and cannot operate in real time
Solution Approach 1:
The patent implements real-time feedback by receiving actual vehicle control data from onboard sensors and telemetry systems, then using this feedback to continuously adjust and refine the virtual vehicle's performance characteristics. This closed-loop approach ensures the simulation remains accurate while operating in real time.
Solution Approach 2:
The patent creates a digital copy of the real vehicle's kinematic behavior by capturing actual sensor data and telemetry, then replicating this behavior in the virtual environment. This copying approach transfers real-world accuracy directly into the simulation without relying on approximate physics models.
3Adaptability or versatility
If prior art approaches are directed to single or a few players, then the interaction scope is limited, but the system becomes non-scalable and unrealistic
Solution Approach 1:
The patent designs a universal tracking and simulation framework that can accommodate any number of players simultaneously. The system uses standardized data protocols and a centralized server architecture that scales linearly with the number of participants, enabling mass engagement without proportionally increasing system complexity.
Solution Approach 2:
The patent dynamically adjusts simulation parameters such as vehicle performance characteristics, track conditions, and environmental factors based on real-time data from multiple vehicles. This dynamic parameter adjustment allows the system to maintain realism and fairness across large numbers of players without requiring complex fixed rules for each scenario.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate, life-like kinematic control of virtual vehicles in relation to real vehicles, allowing millions of gamers to compete fairly with professional drivers in real-time, enhancing the gaming experience and viewer engagement with motor sports.
Implementation Method 1
each of the positional sensing devices comprises: an infra-red sensor having a field of view (FOV) for detecting infra-red radiation either reflected or transmitted from the one or more moving entities operating on the enactment area within the FOV
Data Source
AI summary
A computer implemented method of controlling an interactive hybrid environment representing a motorised sporting event at a track is described. The interactive hybrid environment includes representations of real and virtual vehicles on the track. The method comprises receiving a stream of real sensor data, the real sensor data comprises: real kinematic data of a real vehicle on the track, the real kinematic data being captured by infra-red sensors at the track, and real control data regarding the control of the real vehicle by a driver, the real control data being captured by vehicle sensors and obtained via telemetry systems from the real vehicle; determining the position and kinematic behaviour of the representation of the real vehicle within the interactive hybrid environment using the real kinematic data; using the real control data and the real kinematic data to create a black box determination of the position of the real vehicle on the track based on the real control data; receiving a stream of computer-generated control data which is obtained by user interaction with a computer presenting the interactive hybrid environment to the user and capturing the user inputs to control kinematic behaviour the representation of the virtual vehicle; and determining the position and kinematic behaviour of the representation of the virtual vehicle within the interactive hybrid environment by using the black box determination and the computer-generated control data.