Image-Based Visibility Measurement Using Dark Channel Analysis

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Solution Overview

Problem

Existing visibility detection systems, such as laser-based meters, are expensive and impractical for widespread deployment, and vehicles without advanced sensors or connectivity face challenges in addressing low visibility conditions, leading to safety concerns.

Innovation Solution

An edge device equipped with an image sensor and processing capabilities determines visibility measures by analyzing images to calculate a dark channel, transmission map, and visual contrast, generating real-time data without requiring communication with a back-end server.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If laser-based visibility meters are deployed, then visibility detection accuracy is improved, but deployment cost and complexity increase significantly

Engineering Contradiction:
Improvevisibility detection accuracyVSAvoiddeployment complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses standard camera images as a copy or alternative representation of the visual environment, replacing the need for specialized laser-based visibility meters. By processing regular camera feeds through computational algorithms (dark channel prior, transmission map calculation), the system derives visibility information without requiring expensive dedicated sensing hardware, thus achieving cost-effective deployment while maintaining reasonable measurement accuracy

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent substitutes complex optical measurement systems (laser-based meters) with computational image processing methods. Instead of using physical laser ranging and atmospheric scattering measurements, the system uses algorithmic analysis of standard camera images to infer visibility conditions, replacing mechanical/optical complexity with computational simplicity

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

2Reliability

If advanced sensors are installed in vehicles, then real-time visibility data is obtained, but vehicle cost and complexity increase

Engineering Contradiction:
Improvereal-time visibility data availabilityVSAvoidvehicle sensor complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent enables standard cameras to perform multiple functions - both general imaging and specialized visibility measurement. By processing the same camera feed for both navigation/imaging purposes and visibility assessment, the system eliminates the need for dedicated visibility sensors in vehicles, reducing complexity while maintaining reliable real-time visibility data through infrastructure-based processing

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

Solution Approach 2:

The system allows standard vehicle cameras to serve themselves for visibility measurement without requiring additional specialized sensors. The infrastructure processing unit analyzes the regular camera feeds that vehicles already capture for other purposes, enabling vehicles to obtain visibility data using their existing imaging capabilities

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If infrastructure-based visibility monitoring is implemented, then widespread deployment is achieved, but measurement precision may be reduced compared to specialized sensors

Engineering Contradiction:
Improvedeployment scalabilityVSAvoidvisibility measurement accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent transforms the measurement approach by changing from direct physical measurement (laser ranging) to computational inference from image intensity distributions. By applying dark channel prior theory and transmission map calculations to standard camera images, the system achieves reasonable visibility measurement accuracy using infrastructure-based cameras, balancing scalability with acceptable precision for traffic safety applications

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12608907B2Determining a visibility measure based on an image of an environment
Publication Date: 2026.04.21 UNIV OF WASHINGTON
  • US12608907B2 patent drawing
  • US12608907B2 patent drawing
  • US12608907B2 patent drawing

AI summary

An edge device can include a processing device, an image sensor, and a memory having instructions that are executable by the processing device for causing the processing device to perform operations. The processing device can receive, from the image sensor, an image of an environment. The processing device can determine a visibility measure corresponding to the environment by determining a dark channel of the image, determining, based on the dark channel of the image, a transmission map of the image, and determining, based on the transmission map, a visual contrast of the image. The processing device can generate information corresponding to the visibility measure.