Vehicle Haptic Feedback Steering Actuator for Driver Training

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Solution Overview

Problem

Current autonomous vehicle systems lack effective methods for providing real-time feedback and training to human drivers on optimal driving paths, especially in semi-autonomous modes, which can lead to inefficient learning and potential safety issues.

Innovation Solution

A computer-controlled vehicle system that records and provides haptic feedback based on deviations from an optimal path, allowing human drivers to learn and improve their driving skills by interacting with the vehicle's propulsion, steering, and braking systems in a predefined course.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If autonomous vehicle systems operate in semi-autonomous modes without real-time feedback mechanisms, then the vehicle can function with partial automation, but driver learning efficiency and safety improve poorly

Engineering Contradiction:
Improvedriver safetyVSAvoiddriver learning efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system provides real-time haptic feedback through the steering wheel to guide the driver back to the optimal path. The feedback mechanism includes force application to the steering wheel and visual displays showing the optimal path, enabling continuous driver training and improvement while maintaining safety in semi-autonomous operation modes

Inventive Principle:
Principle #23Feedback

2Productivity

If the system provides continuous haptic feedback through steering wheel actuation, then driver training effectiveness improves, but system complexity and energy consumption increase

Engineering Contradiction:
Improvedriver training effectivenessVSAvoidfeedback system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system applies haptic feedback selectively rather than continuously - activating steering wheel actuation only when the driver deviates from the optimal path by more than a threshold amount. This partial action approach maintains driver training effectiveness while reducing unnecessary system complexity and energy consumption

Inventive Principle:
Principle #16Partial or excessive action

3Manufacturing precision

If the system monitors and actuates vehicle controls continuously to enforce optimal path adherence, then driving precision improves, but loss of time and computational resources increases

Engineering Contradiction:
Improvepath adherence precisionVSAvoidcomputational processing time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system pre-calculates the optimal path through the course before the driver begins navigation. By determining the optimal path in advance using recorded historical data and performance metrics, the system avoids real-time complex computations during driver operation, thus maintaining high path adherence precision while minimizing computational time loss

Inventive Principle:
Principle #9Preliminary anti-action

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

Enhances driver training by providing real-time feedback and improving driving skills through interactive learning, enabling safer and more efficient navigation along predefined courses.

Implementation Method 1

The steering actuator is configured to apply a force to the steering wheel in response to a deviation of the actual path from the optimal path

Methodology Applied
Scientific EffectHaptic feedback: Mechanical Force

Data Source

PatentUS10246101B2Driver training system
Publication Date: 2019.04.02 FORD GLOBAL TECH LLC
  • US10246101B2 patent drawing
  • US10246101B2 patent drawing
  • US10246101B2 patent drawing

AI summary

A computer in a vehicle is programmed to operate a vehicle along a predefined course according to predetermined criteria, record an optimal path through the predefined course based on operation of the vehicle according to the predetermined criteria, monitor operation of at least one vehicle control while the vehicle is operated by a human driver along the predefined course, and actuate the at least one vehicle control based on a predetermined deviance from the optimal path.