Vehicle Image Frame Style for Distance Perception
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Solution Overview
Problem
Conventional image generating systems for vehicles struggle to accurately display the distance between a host vehicle and objects behind it, as objects are often hidden by the host vehicle image, and existing transparency or frame styles do not clearly convey this distance due to unclear host vehicle images and hidden object details.
Innovation Solution
An image generating apparatus that superimposes a host vehicle image in a frame style with varying line thickness and style forms, allowing users to select styles based on user operations or virtual viewpoints, enabling clear separation and recognition of host and object images, and understanding actual distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the host vehicle image is displayed with high transparency rate (50% or more) to allow users to see objects behind the vehicle, then the visibility of objects behind the host vehicle is improved, but the host vehicle image becomes unclear and users cannot correctly understand the actual distance between the host vehicle and objects
Solution Approach 1:
The host vehicle image is segmented into multiple regions (front, rear, left, right sides) and each region can be independently controlled for transparency and display style. This allows the system to maintain clear host vehicle boundaries while enabling visibility of objects behind the vehicle through selective transparency adjustment in specific regions.
Solution Approach 2:
Different display styles (full transparency, frame style, transparent background) are applied to different regions of the host vehicle image based on local requirements. For example, the rear region may use frame style to clearly show distance to objects behind, while other regions use different styles optimized for their specific visibility needs.
2Loss of information
If the host vehicle image is displayed in frame style with uniform line thickness and color to show the body frame, then the object image visibility behind the host vehicle is improved, but the user cannot quickly distinguish which portion of the body frame a particular line represents, making it difficult to correctly understand the actual distance
Solution Approach 1:
The frame lines are assigned different colors or thicknesses based on their spatial position and the region they represent. For example, front frame lines may have one color/thickness while rear frame lines have another, allowing users to quickly identify which body frame portion each line represents and accurately perceive distances.
Solution Approach 2:
Different colors are used for frame lines representing different portions of the host vehicle body. This color coding system enables users to quickly distinguish between front, rear, left, and right body frame portions, improving both identification speed and distance perception accuracy.
3Measurement precision
If thick frame lines are used to clearly show the host vehicle body frame, then the host vehicle image recognition is improved, but object images behind the host vehicle are hidden and users cannot see the distance between the host vehicle and objects
Solution Approach 1:
The host vehicle image display is segmented into multiple style options (full transparency, frame style, transparent background) that can be selected based on viewing conditions. The frame style itself is segmented into regions with different line thicknesses, allowing thick lines for host vehicle recognition in some regions while maintaining visibility of objects in other regions.
Solution Approach 2:
The display style and line thickness of the host vehicle image are dynamically adjustable based on user selection or system determination of optimal viewing conditions. Users can switch between different style forms to balance host vehicle recognition clarity with object visibility behind the vehicle.
Data Source
AI summary
An image generating apparatus generates a vicinity image including a vehicle and a vicinity of the vehicle viewed from a virtual viewpoint, based on a captured image, and generates a combined image by superimposing a vehicle image of the vehicle on the vicinity image. Then the image generating apparatus generates the vehicle image in a frame style that shows a body frame of the vehicle by frame lines and changes a style form in the frame style in accordance with a predetermined condition.