Driver Recognition Device Using Discrete Point Overlap Analysis
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Solution Overview
Problem
The existing travel assistance systems face high processing loads when determining whether a driver is recognizing a target in the traveling direction of a moving object, which can lead to inefficiencies and increased computational demands.
Innovation Solution
A recognition device and method that utilize a processor to recognize a visual field range extending from a driver's viewpoint, set determination points within a target area, and assess the degree of overlap between these points and the visual field range to determine if the driver is recognizing the target, with the ability to adjust the number of points and time periods based on the target's attributes, thereby reducing processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the degree of overlap between the area of a feature object and the area of a line-of-sight circle is calculated to determine driver recognition, then the accuracy of target recognition is improved, but the processing load increases significantly
Solution Approach 1:
The patent divides the continuous area overlap calculation into discrete determination points. Instead of calculating overlap between entire areas, the system checks whether specific points (center point, upper, lower, left, right points) of the feature object fall within the line-of-sight circle. This segmentation transforms a complex continuous calculation into simpler discrete point-in-circle checks, reducing processing load while maintaining recognition accuracy.
Solution Approach 2:
The patent extracts only the essential information needed for recognition by checking point positions rather than processing entire area data. By extracting key determination points from the feature object area and checking their positions relative to the line-of-sight circle, the system obtains sufficient recognition information with minimal computational effort, avoiding unnecessary processing of complete area overlap data.
2Reliability
If multiple determination points are used to assess target recognition, then the reliability of recognition determination is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the feature object area into specific determination points (center point, upper, lower, left, right points) to assess recognition reliability. By checking the positions of these discrete points within the line-of-sight circle, the system achieves reliable recognition determination through multiple data points without requiring complex continuous area analysis, thus improving reliability while controlling computational complexity.
Data Source
AI summary
A recognition device includes a processor and a memory storing program instructions executable by the processor. The processor is configured to recognize a visual field range which extends from a viewpoint of a driver of a moving object in a line-of-sight direction and extends at a predetermined angle as moving away from the viewpoint with reference to a detection result of a line-of-sight detection device, recognize a target present in a surrounding environment of the moving object shown within image data on the basis of the image data in which surroundings of the moving object are imaged by a visual sensor disposed in the moving object and set an area of the recognized target in a predetermined shape, and set a plurality of determination points in the area of the target and determine whether or not the driver is recognizing the target on the basis of a degree of overlap between the plurality of determination points and the visual field range.