Environment Recognition Device Using Luminance-Color Grouping
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Solution Overview
Problem
Existing environment recognition systems face challenges in accurately identifying target objects, particularly traffic lights and road signs, due to color unevenness and false colors caused by lighting effects, which can lead to incorrect object specification and reduced recognition efficiency.
Innovation Solution
An environment recognition device and method that utilize a data retaining unit to associate color identifiers with luminance ranges, a luminance obtaining unit to determine target object luminance, and a grouping unit to group target portions based on assigned color identifiers and spatial proximity, improving the accuracy of target object specification by handling color unevenness and false colors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color-based grouping is used to extract target objects from captured images, then object extraction can be performed, but color unevenness and false colors cause incorrect object specification and reduced recognition accuracy
Solution Approach 1:
The patent changes the parameter basis for grouping from single luminance value to multiple luminance values (first and second luminance values). By comparing both luminance values and requiring them to match corresponding color identifiers, the system overcomes color unevenness and false color issues, thereby improving both measurement precision and reliability in target object specification
Solution Approach 2:
The patent implements a feedback mechanism where the grouping result is verified by checking whether extracted objects satisfy predetermined conditions. This feedback loop ensures that only correctly identified target objects are accepted, improving recognition accuracy by eliminating false positives caused by color variations
2Measurement precision
If multiple color identifiers are used to handle color variations, then recognition accuracy improves, but processing complexity increases
Solution Approach 1:
The patent applies partial action by using multiple luminance values (first and second luminance values) rather than exhaustive color analysis. This selective approach handles color variations sufficiently without requiring complete spectral analysis, thereby improving identification accuracy while controlling processing complexity
Solution Approach 2:
The patent segments the color identification process into distinct steps: obtaining first luminance value, obtaining second luminance value, comparing with color identifiers sequentially, and verifying with predetermined conditions. This segmentation makes the complex process more manageable and efficient
Data Source
AI summary
There are provided an environment recognition device and an environment recognition method. The environment recognition device obtains luminances of a target portion in a detection area of a luminance image, assigns a color identifier to the target portion according to the luminances of the target portion, based on association between a color identifier and a luminance range retained in a data retaining unit, and groups target portions assigned one of one or more color identifiers associated with a same specific object, and of which position differences in the width direction and in the height direction are within a predetermined range, based on association between the color identifier and the luminance range retained in the data retaining unit.