Risk information output device
The risk information output device improves traffic risk assessment by calculating visual attention concentration based on visual splendor distribution and gaze positions, addressing the inaccuracies of existing methods at intersections and curves.
JP7869382B2Active Publication Date: 2026-06-02PIONEER IP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- PIONEER IP
- Filing Date
- 2025-06-27
- Publication Date
- 2026-06-02
AI Technical Summary
Technical Problem
Existing methods for determining traffic risk based on visual load fail to accurately reflect the contextual attentional state, particularly at intersections and curves, due to the inability to account for unconscious gaze on objects and multiple entry points.
Method used
A risk information output device that calculates visual attention concentration by inferring visual splendor distribution and setting reference gaze positions, using units to determine safety indices at intersections and curves, and outputs risk information based on these calculations.
Benefits of technology
Enhances the accuracy of risk determination by reflecting the contextual attentional state, allowing for precise evaluation and output of risk information at intersections and curves.
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Smart Images
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Abstract
To accurately determine risk and output information on the risk.SOLUTION: In an information processor 1, a visual saliency calculation section 3 acquires a visual saliency map obtained by estimating degrees of visual saliency in an image for each entrance road from the image for each entrance road, which is a road for entering an intersection, and a sight line coordinate setting section 4 sets coordinates of ideal sight line in the image for each exit road, which is a road for exiting after entering the intersection, for the visual saliency map. A vector error calculation section 5 calculates a visual attention concentration degree Ps for each exit road in the image on the basis of the visual saliency map and the ideal sight line, and an output section 6 outputs information on risk at the intersection on the basis of the visual attention concentration degree Ps calculated for each exit road.SELECTED DRAWING: Figure 1
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