Autonomous Driving Performance Evaluation Using Vehicle Travel State

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Solution Overview

Problem

The performance of autonomous driving devices and applications, which are developed independently of the vehicle, is not transparent to the vehicle's control system, leading to potential safety risks due to unknown or varying performance levels.

Innovation Solution

The vehicle is equipped with a travel state sensor and processors to communicate with and evaluate the performance of autonomous driving devices or applications, calculating an evaluation value based on travel state information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the autonomous driving device is made independent and removably mountable on the vehicle, then the adaptability and versatility of the system is improved, but the reliability and safety control capability deteriorate due to lack of transparency in performance information

Engineering Contradiction:
ImproveadaptabilityVSAvoidsafety control capability
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements a feedback mechanism where the vehicle control system receives performance information from the independent autonomous driving device, evaluates it against safety criteria, and adjusts control accordingly. This closed-loop feedback enables the system to maintain safety control capability while using removable, adaptable autonomous driving devices.

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If the autonomous driving device is developed by an independent developer, then the adaptability and market availability are improved, but the measurement precision and transparency of true performance deteriorate

Engineering Contradiction:
Improvemarket availabilityVSAvoidperformance transparency
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent introduces an intermediary evaluation mechanism where the vehicle control system acts as a mediator between the independent autonomous driving device and the vehicle operation. This intermediary evaluates performance information from the autonomous driving device, providing transparency and precise measurement of actual performance without requiring the device to be developed by the original vehicle manufacturer.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Device complexity

If the performance information of the autonomous driving device is not openly available, then the device complexity and security are improved, but the loss of information and ability to perform adequate control worsen

Engineering Contradiction:
ImprovesecurityVSAvoidperformance information availability
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The patent segments information availability by type and purpose. Different levels of performance information are provided to different system components based on their security requirements and functional needs. This segmentation allows the system to maintain security while preventing information loss, as each segment receives only the information necessary for its specific function.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12606182B2Vehicle and method of evaluating performance of autonomous driving device
Publication Date: 2026.04.21 TOYOTA JIDOSHA KK
  • US12606182B2 patent drawing
  • US12606182B2 patent drawing
  • US12606182B2 patent drawing

AI summary

A vehicle includes: a travel state sensor configured to acquire information about a travel state of the vehicle; one or more processors; and a memory connected to the one or more processors and storing a plurality of instructions to be executed by the one or more processors. The instructions are configured to cause the one or more processors to: communicate with an autonomous driving device configured to calculate a target track for the vehicle; subject the vehicle to automated travel in accordance with the target track received from the autonomous driving device; and calculate an evaluation value of performance of the autonomous driving device based on the information acquired by the travel state sensor.