Driver Alertness Detection via Visual Field Comparison

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Solution Overview

Problem

Current driver assistance systems cannot accurately determine a vehicle driver's alertness, leading to either premature or missed warnings, as they rely on vehicle parameters and historical driving behavior rather than real-time attention direction.

Innovation Solution

A method and device that estimate a vehicle driver's visual observation field using a portable sensor unit, such as smartglasses, to compare the driver's head orientation and gaze direction with potentially dangerous situations, enabling real-time alertness determination and adaptive warnings or interventions based on the degree of alertness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If driver alertness is determined using vehicle parameters and historical driving behavior, then the system can provide continuous monitoring, but the measurement precision of real-time alertness is insufficient

Engineering Contradiction:
Improvealertness detection precisionVSAvoidreal-time detection delay
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces indirect mechanical inference methods (analyzing vehicle parameters and driving behavior patterns) with direct optical sensing methods (eye tracking cameras and head orientation sensors) to measure driver alertness. This substitution enables precise real-time detection of the driver's visual observation field and attention direction without time delays.

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

Solution Approach 2:

The patent introduces portable sensor units worn by the driver as intermediaries to directly capture physiological and positional data (head orientation, gaze direction) that mediate between the driver's internal alertness state and the external detection system, enabling more accurate real-time measurement.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If the system provides frequent warnings to ensure safety, then the reliability of safety warnings improves, but false warnings increase causing driver annoyance

Engineering Contradiction:
Improvewarning reliabilityVSAvoidfalse warnings
Core Design Contradiction:
ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The patent applies local quality by differentiating warning generation based on the specific local state of driver attention. Instead of uniform warning thresholds, the system evaluates the driver's visual observation field and head orientation relative to the dangerous situation's position, generating warnings only when the driver's attention is genuinely misdirected, thereby reducing false warnings while maintaining reliability.

Inventive Principle:
Principle #3Local quality

3Measurement precision

If the system uses portable sensor units to estimate visual observation field, then the measurement precision of driver attention improves, but the device complexity increases

Engineering Contradiction:
Improvevisual observation field estimation accuracyVSAvoidsensor unit complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies universality by designing portable sensor units that perform multiple functions: head orientation detection, gaze direction tracking, and visual observation field estimation. This multi-functionality consolidates what would otherwise require separate systems into a single integrated device, reducing overall system complexity while maintaining high measurement precision.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS9731727B2Method and device for detecting the alertness of a vehicle driver
Publication Date: 2017.08.15 ROBERT BOSCH GMBH
  • US9731727B2 patent drawing
  • US9731727B2 patent drawing
  • US9731727B2 patent drawing

AI summary

A method for detecting the alertness of a vehicle driver includes the detection of a potentially dangerous situation by a system of the vehicle; the estimation of a visual observation field of the vehicle driver; and the detection of the alertness of the vehicle driver by comparing an orientation or a position of the potentially dangerous situation to the visual observation field of the vehicle driver.