Vehicle Stereoscopic Cluster Driver Eye Segmentation
Solution Overview
Problem
Conventional stereoscopic clusters for vehicles fail to provide a clear stereoscopic screen when multiple passengers are present, as the camera detects multiple pairs of eyes, leading to a decrease in sharpness and clarity for the driver.
Innovation Solution
A processor-based system that distinguishes the driver's pair of eyes among multiple pairs by using image data, ultrasonic sensors, mat sensors, and auto-light sensors to determine the presence of other passengers and adjust the stereoscopic display accordingly, providing a clear stereoscopic screen to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the camera detects all pairs of left and right eyes of multiple passengers, then the system can provide stereoscopic screens for all users, but the sharpness and clarity of the stereoscopic screen for the driver is lowered
Solution Approach 1:
The patent segments the multiple detected eye pairs by using additional sensors (ultrasonic sensor, mat sensor, auto-light sensor) to classify which eye pair belongs to the driver versus passengers. This segmentation allows the system to selectively process only the driver's eye position data for stereoscopic screen generation, thereby maintaining screen sharpness while still accommodating multiple users in the vehicle.
2Measurement precision
If the system uses multiple sensors to distinguish the driver's eyes among multiple pairs, then the sharpness of the stereoscopic screen is improved, but the device complexity increases
Solution Approach 1:
The patent employs sensors (ultrasonic sensor, mat sensor, auto-light sensor) that serve multiple functions: they detect passenger presence, determine seating positions, and assist in identifying the driver's eye pair among multiple detected eyes. By making these sensors multi-functional, the system achieves improved measurement precision without proportionally increasing device complexity, as the same hardware components perform multiple detection tasks.
Data Source
AI summary
A stereoscopic cluster for a vehicle may include: a processor configured to: detect at least one pair of left and right eyes from acquired image data; distinguish a pair of left and right eyes of a first user among at least two pairs of left and right eyes when the at least two pairs of left and right eyes are detected; and provide a stereoscopic screen based on the distinguished pair of left and right eyes of the first user; and a display controlled by the processor to display the stereoscopic screen.