Multispectral Road Markings Using Infrared-Reflective Paint
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Solution Overview
Problem
Automated vehicular systems face challenges in effectively utilizing road markings, as existing markings are visible to both human drivers and automated systems, leading to clutter and reduced performance, and are prone to errors due to environmental conditions and distracting objects.
Innovation Solution
The development of infrared reflective paint materials that are imperceptible in visible light but highly visible in the infrared spectrum, allowing for the creation of driving assistance markings that provide additional information to automated systems without affecting human drivers, using specific spectral reflection characteristics to ensure visibility only in infrared ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional road markings are used that are visible in the visible light spectrum, then human drivers can see and understand the markings, but automated vehicular systems experience clutter and reduced performance due to the markings being visible to both humans and machines
Solution Approach 1:
The paint material is engineered with non-uniform spectral reflection characteristics across different wavelength ranges. Specifically, the material reflects visible light similarly to the road surface (maintaining invisibility to humans) while exhibiting dramatically different infrared reflection properties (enabling automated system detection). This local differentiation of optical properties resolves the contradiction by making the marking selectively visible only to automated sensors.
Solution Approach 2:
The invention changes the optical parameters of the paint material by specifying its spectral reflection characteristics across different wavelength ranges. The material is designed to reflect visible light within a first spectral range with minimal deviation from the road surface, while reflecting infrared light within a second spectral range with significant deviation. This parameter-based differentiation enables the marking to be invisible to human drivers but highly visible to automated vehicular systems equipped with infrared sensors.
2Measurement precision
If road markings are made visible to automated systems using infrared-reflective paint, then automated systems can detect the markings accurately, but the markings may become distracting or visible to human drivers which could cause confusion
Solution Approach 1:
The paint material exhibits locally differentiated optical properties across the electromagnetic spectrum. It maintains visible light reflection characteristics that match the road surface, ensuring invisibility to human drivers, while simultaneously providing distinct infrared reflection characteristics for automated system detection. This localized spectral differentiation eliminates human distraction while preserving automated system visibility.
Solution Approach 2:
The invention effectively creates a 'color' differentiation in the infrared spectrum that is imperceptible to humans. The paint material appears to have a specific infrared signature or 'color' in the second spectral range that allows automated systems to distinguish markings from the road surface, while maintaining visual camouflage in the visible spectrum. This spectral color differentiation resolves the contradiction between automated detection and human invisibility.
3Reliability
If existing road markings are used, then they provide basic driving information, but they are prone to errors due to environmental conditions and distracting objects on the road
Solution Approach 1:
The invention changes the detection parameter from visible light to infrared spectrum. By specifying that the paint material reflects infrared light within a second spectral range with a second degree of deviation, the system enables automated vehicular systems to detect markings based on infrared characteristics. This parameter change makes detection immune to visible light environmental factors such as sunlight, shadows, and distracting objects, thereby improving reliability.
Solution Approach 2:
The infrared-reflective paint material acts as an intermediary that translates road marking information into a different spectral domain (infrared) where automated systems can detect it reliably. This intermediary layer protects the original visible information while creating a new detection channel that is unaffected by environmental conditions affecting visible light, thus resolving the reliability contradiction.
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
This solution enhances the detection and reliability of road markings for automated systems, reduces errors, and maintains compliance with regulations by making the markings imperceptible to humans and legacy automated systems, improving operational accuracy and safety.
Implementation Method 1
Reflecting light in an infrared spectral range deviating more than a second value from the infrared spectral range reflected by the surface of the one or more elements
Implementation Method 2
Reflecting light in a visible light spectral range deviating less than a first value from the visible light spectral range reflected by a surface of the one or more elements
Data Source
AI summary
Disclosed herein are methods and systems for painting driving assistance markings using one or more paint materials which are visible in a plurality of light spectral ranges, in particular, visible light and one or more infrared light spectral ranges. Further disclosed are methods and systems for analyzing images captured in multiple spectral ranges to identify the driving assistance markings and/or part thereof in a plurality of different spectral ranges and identify aggregated driving assistance markings by aggregating the driving assistance markings identified in the plurality of different spectral ranges. Also disclosed herein are methods and systems for presenting and detecting enhanced driving assistance markings on one or more elements under one or more paint materials which are highly transparent in one or more infrared spectral ranges while reflecting visible light conforming to a color of the element(s) surface thus not affecting appearance of the element(s) in the visible light spectrum.