Vehicle Front Blind Zone Detection With Visibility-Based Alerts
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Solution Overview
Problem
Vehicles often have blind zones that obstruct the driver's view, making it difficult to detect and avoid objects in these areas, leading to potential hazards.
Innovation Solution
An object detection system that classifies detected objects as visible or occluded based on their position relative to the driver's field of view, generating alerts only for occluded objects to minimize distractions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alerts are generated for all detected objects, then object detection completeness is improved, but driver distraction increases
Solution Approach 1:
The system applies different alerting qualities to different spatial zones: objects in blind zones receive alert notifications while objects in visible zones do not. This local differentiation resolves the contradiction by making the alerting behavior context-dependent on the object's location relative to the driver's field of view.
Solution Approach 2:
The visibility curve acts as an intermediary between object detection and alert generation. It mediates the decision process by providing a reference against which object positions are compared, automatically determining whether an object requires alerting based on its position relative to the driver's visible zone.
2Loss of information
If the driver adjusts their field of view to see occluded objects, then visibility is improved, but driving safety deteriorates
Solution Approach 1:
The system replaces the mechanical action of the driver physically adjusting their field of view with an electronic alerting system. The alert notification substitutes for the driver's head or eye movement, providing information about occluded objects without requiring the driver to change their physical orientation or attention direction.
3Measurement precision
If alert thresholds are lowered to detect more objects, then detection sensitivity is improved, but false alarms increase
Solution Approach 1:
The system applies different detection sensitivity thresholds to different spatial zones. Objects in blind zones are subject to alerting with lower thresholds since they represent a higher risk, while objects in visible zones have higher thresholds or no alerting since the driver can already see them. This local quality differentiation reduces false alarms while maintaining detection sensitivity where needed.
Data Source
AI summary
An object detection system configured for detecting objects within a front blind zone of a vehicle. The object detection system may be configured for determining positional coordinates for a plurality of candidate objects forward of a front fascia of the vehicle, determining a visibility curve for a driver of the vehicle, and identifying each of the candidate objects as one of a visible object or an occluded object based on a comparison of the positional coordinates to the visibility curve.


