Vehicle Cluster Composite Image Overlay for ADAS Object Information
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Solution Overview
Problem
Conventional vehicle clusters with fixed background images limit the effective transmission and visibility of various information to drivers, especially with the integration of Advanced Driver Assistance Systems (ADAS) using data from radar or cameras, as they do not dynamically display object information in a way that enhances driver awareness.
Innovation Solution
A vehicle system comprising an image sensor to capture the front view, a navigation system to provide object information, and a controller to generate and output composite images on the cluster, which can convert actual images to virtual ones, overlay object information, and adjust image acquisition and display speed based on driver input, allowing for dynamic display of object information such as building names and addresses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a fixed background image is displayed on the cluster, then the display structure is simple, but the information transmission effectiveness and driver awareness are limited
Solution Approach 1:
The patent transforms the static fixed background image into a dynamic composite image that changes based on driving conditions, object detection, and driver input. The cluster display dynamically composes images by overlaying object information (from radar/camera) onto background images, allowing the same display structure to convey variable, context-relevant information without physical modification.
Solution Approach 2:
The cluster display system serves multiple functions: it displays standard vehicle information, overlays detected objects with their attributes (name, address, usage), provides navigation guidance, and adapts to different driving scenarios. This multi-functionality is achieved through software-based image composition rather than hardware complexity.
2Reliability
If real-time object information is overlaid on the front image, then driver awareness is improved, but image processing complexity increases
Solution Approach 1:
The patent merges multiple data sources (front camera image, radar data, navigation information, object database) into a single composite image displayed on the cluster. The controller integrates these diverse inputs by overlaying object information (names, addresses, usage types) onto the visual background, creating a unified display that enhances awareness without requiring separate display devices.
Solution Approach 2:
The controller acts as an intermediary that processes and synthesizes data from multiple sources (image sensor, radar, navigation system, object database) before presenting it to the driver. It matches detected objects with database information, composes the composite image, and manages the overlay process, simplifying the complexity by centralizing processing in one component.
3Loss of information
If the cluster displays detailed object information, then information completeness is improved, but visibility and recognition by the driver may be reduced
Solution Approach 1:
The patent applies different visual qualities to different regions of the composite image. Object information is overlaid with varying transparency, size, and prominence based on its importance and distance. Critical information (object names, types) is displayed more prominently than secondary details, allowing the driver to quickly grasp essential information while maintaining overall image visibility.
Solution Approach 2:
The system uses color coding to differentiate object types and prioritize information. Different object categories (buildings, facilities, other vehicles) are displayed with distinct colors or color intensities, enabling rapid visual classification. Color variations also indicate object importance or urgency, helping drivers quickly identify critical information without being overwhelmed by details.
Data Source
AI summary
A vehicle includes: an image sensor configured to acquire a front image; a navigation system configured to provide object information indicating information on one or more objects in front of the vehicle; a controller configured to generate a composite image of the acquired front image having the object information when the acquired front image includes at least object among the one or more objects; and a cluster configured to output the generated composite image.