Driving Instruction Module for Autonomous Vehicle Skill Evaluation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

The high cost and time-consuming nature of obtaining a driver's license, coupled with the need for a driving instructor, can be inefficient, and the future shift towards autonomous vehicles may render traditional driver training obsolete, yet there will still be a need for manual vehicle operation skills.

Innovation Solution

An autonomous-capable vehicle equipped with a driving instruction module that monitors and corrects a driver's behavior using sensors and communication devices, allowing for the elimination of human instructors and providing continuous learning and testing capabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional driver training with human instructors is used, then driving skills can be learned, but training costs are high and time consumption is large

Engineering Contradiction:
Improvedriving skill evaluation accuracyVSAvoidtraining time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system enables self-driven learning where the automated instruction module guides learners through driving tasks independently, eliminating the need for human instructors to provide continuous guidance and allowing learners to progress at their own pace without scheduling constraints

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of human instruction and evaluation with an automated digital system that uses sensors, processors, and communication devices to monitor, evaluate, and provide feedback on driving behavior objectively and continuously

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If human driving instructors are employed, then personalized guidance can be provided, but operational costs increase significantly

Engineering Contradiction:
Improveinstruction qualityVSAvoidtraining cost
Core Design Contradiction:
Ease of operationVSLoss of energy

Solution Approach 1:

The system provides automated instruction and evaluation that operates continuously without human intervention, eliminating instructor fees while maintaining consistent instruction quality through programmed evaluation criteria and immediate feedback mechanisms

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system creates a replicable digital instruction model that can be deployed in multiple vehicles identically, ensuring consistent instruction quality across different locations and users without requiring multiple human instructors with varying skill levels

Inventive Principle:
Principle #26Copying

3Reliability

If autonomous vehicle technology is developed, then safety can be improved, but manual driving skills may deteriorate

Engineering Contradiction:
Improvevehicle safetyVSAvoidmanual control capability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system proactively monitors driving behavior and provides corrective feedback before dangerous habits fully develop, and can temporarily take control in critical situations while maintaining the driver's eventual responsibility and skill development

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors driving behavior through sensors and provides immediate feedback to the driver, reinforcing safe driving patterns and correcting deviations in real-time, thereby maintaining manual driving skills while benefiting from autonomous safety monitoring

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10902742B2Method and device for evaluating driving behavior
Publication Date: 2021.01.26 FORD MOTOR CO
  • US10902742B2 patent drawing
  • US10902742B2 patent drawing
  • US10902742B2 patent drawing

AI summary

A method and apparatus for teaching and/or evaluating driving behavior of a driver of an autonomous-capable vehicle. The vehicle is operated in a manual-control mode wherein a driver has manual control, and a communication device (audio speaker, visual display, etc.) issues an instruction to the driver to perform a task. As the driver is attempting to perform the task, a sensor monitors the driver's behavior. A driver instruction module (that interfaces with the vehicle's autonomous driving module) determines a deviation between the driver's behavior and a desired behavior to perform the task. If the deviation exceeds a permissible amount, the vehicle is placed under autonomous control (control is taken away from the driver) and the task is completed in a manner that is in accordance with the desired behavior.