Automated Race Penalty Decisions Using Vehicle Sensor Data

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Solution Overview

Problem

Human error in penalty decisions during motorsport racing events due to high-speed operations and time constraints leads to inaccuracies and biases, necessitating an automated system for accurate and swift decision-making.

Innovation Solution

A sensor module onboard vehicles captures data, a data analysis module identifies rule violations, and a decision-making module, enhanced by a learning module, computes penalties or warnings, ensuring real-time and unbiased decisions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If human judges manually monitor and decide penalties during racing events, then flexibility and adaptability in decision-making are maintained, but human error, bias, and stress lead to reduced accuracy and reliability

Engineering Contradiction:

Improveaccuracy of penalty decisionsVSAvoidcomplexity of decision-making system

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical human decision-making system with an automated electronic system comprising sensor modules, data analysis modules, and decision-making modules. This substitution eliminates human error, bias, and stress while maintaining consistent application of racing rules through algorithmic processing of sensor data.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the automated decision-making system to independently monitor racing events, analyze sensor data, detect rule violations, and impose penalties without requiring human intervention. The learning module continuously improves the system's decision-making capabilities through machine learning algorithms.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If automated systems are introduced to eliminate human error in penalty decisions, then accuracy and objectivity improve, but system complexity and computational requirements increase

Engineering Contradiction:

Improveprecision of rule violation detectionVSAvoidcomplexity of automated decision system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The automated decision-making system is segmented into distinct functional modules: sensor modules for data collection, data analysis modules for processing sensor inputs, decision-making modules for determining rule violations and penalties, and learning modules for continuous improvement. This modular architecture manages complexity while maintaining high precision in rule violation detection.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces data analysis modules as intermediaries between sensor modules and decision-making modules. These intermediary modules process and filter sensor data, extracting relevant features and reducing data complexity before passing information to the decision-making module, thereby maintaining measurement precision while managing system complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If real-time automated decisions are made during high-speed racing events, then speed and responsiveness of penalty imposition improve, but the complexity of processing high-speed data increases

Engineering Contradiction:

Improvespeed of penalty decision-makingVSAvoidcomplexity of real-time data processing

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary action by pre-processing sensor data and pre-establishing decision rules before racing events begin. The learning module continuously trains on historical racing data to pre-compute decision patterns, enabling rapid real-time decisions during high-speed racing without complex on-the-fly processing.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The automated system maintains continuous monitoring and processing of racing data throughout the event, eliminating interruptions and delays associated with manual review. The continuous operation of sensor modules and data analysis modules ensures uninterrupted detection and immediate imposition of penalties, maximizing productivity while distributing computational load over time.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS12478895B2Automatic automotive race management

Publication Date: 2025.11.25 SIT AUTONOMOUS AG

AI summary

A system and method for regulating a motorsport racing event are disclosed. The system comprises sensor modules for sensing a plurality of race parameters to generate a plurality of input signals. A data analysis module receives the input signals for analysis. A decision-making module receives the analyzed signal and computes a recommendation or a decision corresponding to the level of violation. A penalty and recommendation module receives information associated with the recommendation or the decision and presents the recommendation or the decision.