Logistic Regression Assessment for Automatic Braking Systems
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Solution Overview
Problem
Current methods for assessing the performance of automatic braking systems are not applicable across different types, lacking a uniform assessment method that can evaluate various systems effectively.
Innovation Solution
A computer-based assessment support program using logistic regression analysis to evaluate the performance of automatic braking systems by calculating significance probabilities and odds ratios based on collision occurrence events, allowing for the assessment of different types of systems uniformly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a uniform assessment method is established for automatic braking systems, then the applicability across different system types is improved, but the complexity of the assessment methodology increases
Solution Approach 1:
The patent creates a universal assessment methodology that can evaluate different types of automatic braking systems (stereo cameras, millimeter wave radar, ultrasonic radar, constant braking force systems, and speed-distance adaptive systems) using a single unified approach. The logistic regression analysis framework serves as a multi-functional tool that adapts to various system configurations while maintaining consistent assessment criteria.
Solution Approach 2:
The patent transforms the assessment approach by changing from system-specific evaluation parameters to universal statistical parameters (significance probability and odds ratio) derived from logistic regression analysis. This parameter transformation enables comparison across different system types by converting diverse braking system performances into a common statistical framework.
2Measurement precision
If logistic regression analysis is used to obtain probability distribution, then the measurement precision of collision avoidance capability is improved, but the loss of time for data processing increases
Solution Approach 1:
The patent performs preliminary logistic regression analysis on test data to establish probability distributions and significance probabilities before actual assessment. By pre-calculating these statistical parameters from test results, the system reduces real-time processing requirements and enables faster deployment of the assessment framework.
Solution Approach 2:
The patent creates a statistical model (probability distribution) that copies and represents the complex relationship between relative speed and collision occurrence. This statistical copy simplifies the assessment process by replacing direct complex simulations with pre-established probability relationships, reducing processing time while maintaining precision.
Data Source
AI summary
An assessment support program for an automatic braking system is executed by a computer having at least a CPU. The CPU functions as a part that constitutes an assessment unit that makes an assessment of the performance of the automatic braking system on the basis of a significance probability relating to a probability distribution. The probability distribution is obtained by a logistic regression analysis based on a test result. The test result indicates whether or not a vehicle equipped with the automatic braking system collides with an obstacle under actuation of the automatic braking system. An explanatory variable in the logistic regression analysis is a relative speed vi of the vehicle relative to the obstacle before the actuation of the automatic braking system. A response variable in the logistic regression analysis is an occurrence probability of an event in the test result.