In-Cabin Driver Assist Display With Gaze-Based Overlay Control
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Solution Overview
Problem
Current vehicle vision systems lack the ability to dynamically adjust displays based on the driver's head position and gaze direction, and they do not effectively enhance image data for navigation and object detection, nor do they provide secure access and operation authorization using biometric sensors.
Innovation Solution
A vehicle vision system that includes cameras and sensors to detect the driver's head position and gaze direction, adjusts display orientations, processes image data for enhanced navigation with graphical overlays, and uses biometric data to authorize vehicle access and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If displays are fixed in orientation and location, then device complexity is reduced, but driver comfort and usability deteriorate when driver position changes
Solution Approach 1:
The display system transitions from a static fixed orientation to a dynamic adjustable orientation that adapts to the driver's head position and gaze direction. The display orientation is continuously adjusted based on real-time detection of driver position, making the system flexible and adaptive to different driving conditions and driver preferences.
Solution Approach 2:
The system automatically detects the driver's head position and gaze direction using sensors and cameras, then autonomously adjusts the display orientation without requiring manual intervention from the driver. This self-adjusting capability eliminates the need for complex manual controls while improving driver comfort.
2Loss of information
If image data is processed only for basic object detection, then processing speed is maintained, but navigation information completeness deteriorates
Solution Approach 1:
The image processing system is divided into multiple specialized processing streams: one stream handles basic object detection for safety, while another stream processes navigation-related features such as road markings, signs, and geographic information. This segmentation allows parallel processing of different information types, maintaining overall processing speed while providing comprehensive navigation information.
Solution Approach 2:
The image processing system performs multiple functions simultaneously: it detects objects for safety, extracts navigation information for guidance, and provides both functions through a unified processing framework. This multi-functionality ensures that the system can handle diverse information requirements without requiring separate dedicated systems.
3Reliability
If vehicle access is granted without biometric verification, then ease of access is improved, but security and authorization control deteriorate
Solution Approach 1:
The system performs biometric verification in advance of vehicle access, capturing and analyzing the driver's biometric data (such as facial recognition or iris patterns) before granting access. This preliminary verification ensures that only authorized individuals can operate the vehicle, while the process is automated to minimize impact on access convenience.
Solution Approach 2:
The system replaces traditional mechanical access control methods (such as physical keys or manual authentication) with biometric sensing and automated verification. This substitution provides more reliable security while improving ease of operation, as biometric verification occurs automatically without requiring the driver to manually authenticate.
Data Source
AI summary
A vehicular driver assist system includes a camera disposed at an in-cabin side of a windshield of a vehicle. Electronic circuitry of a first electronic control unit (ECU) includes a first processor operable to process image data captured by the camera. Electronic circuitry of a second ECU includes a second processor. A display is disposed within the vehicle for displaying video images viewable by a driver of the vehicle. The first ECU, at least in part via processing by the first processor of image data captured by the camera, detects objects for a driving assistance system of the vehicle. Responsive to a navigation function of the vehicle, a graphical overlay is added at the second ECU to image data captured by the camera. The display displays video images representative of captured image data overlaid with the graphical overlay.