Vehicle Display System Dynamic Field of View Control
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Solution Overview
Problem
Current display systems in vehicles do not effectively adjust the field of view based on vehicle operating data and detected objects, leading to incomplete or irrelevant information being displayed to the operator, which can compromise safety.
Innovation Solution
A display system that includes an imager capturing rearward views, a processing unit receiving and analyzing image data and vehicle operating data, and a display that dynamically alters the field of view based on detected objects and vehicle speed thresholds, allowing for intelligent control of the displayed information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the field of view is fixed in standard rearview displays, then the system is simple to operate, but relevant information may be missed when objects are not clearly visible
Solution Approach 1:
The display system dynamically adjusts the field of view based on detected objects and vehicle operating conditions. The processing unit modifies the displayed field of view in real-time, transitioning from a fixed static display to a dynamic adaptive display that responds to environmental factors, thereby improving safety without requiring complete system redesign
Solution Approach 2:
The system incorporates feedback loops where the processing unit continuously receives data from imagers and object detection algorithms, then adjusts the displayed field of view accordingly. This closed-loop control ensures that the display adapts to current conditions, providing relevant information while maintaining system reliability
2Loss of information
If the field of view is dynamically adjusted based on detected objects, then relevant information is provided, but the device complexity increases
Solution Approach 1:
The processing unit segments the rearward view into multiple zones or regions of interest based on detected objects. By dividing the field of view into relevant and irrelevant areas, the system processes and displays only the necessary information, reducing the overall processing burden while maintaining information completeness
Solution Approach 2:
The system applies different processing qualities to different regions of the displayed image. Areas containing detected objects receive enhanced processing and attention, while other areas use standard processing. This localized approach to information processing reduces overall computational requirements while ensuring critical information is not lost
3Loss of information
If multiple imaging devices are used to capture different fields of view, then comprehensive information is captured, but the device complexity and cost increase
Solution Approach 1:
The processing unit serves multiple functions: it processes images from the imager, performs object detection, determines vehicle operating conditions, and controls the displayed field of view. By making the processing unit multi-functional, the system achieves comprehensive information processing without adding separate dedicated components for each function
Data Source
AI summary
A display system for use in a vehicle is disclosed including an imager configured to capture images corresponding to a field of view rearward of the vehicle. The imager is in communication with a processing unit configured to receive data representative of the captured images from the imager. A display is in communication with the processing unit which is configured to display images based on the data representative of the captured images received by the processing unit. The processing unit is configured to receive vehicle operating data from the vehicle and data corresponding to a detection of an object in proximity of the vehicle. In response to the vehicle operating data and the object detected, the processing unit is configured to control the field of view of the at least one imager.