Vehicle AR Lane Display Control Based on Sensor Reliability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle display systems struggle to accurately form augmented reality (AR) images that conform to lane dividing lines, leading to potential overlap with obstacles and occupant annoyance.
Innovation Solution
A vehicle display control device that forms AR images based on sensor reliability, adjusting the length of the images in the lane extension direction to minimize overlap with obstacles, and disabling image formation when reliability is below a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the AR image length is extended to ensure coverage of the lane dividing line, then the likelihood of overlapping with obstacles increases, but the coverage and visibility of the lane guidance is improved
Solution Approach 1:
The patent applies dynamics by making the AR image length adjustable based on sensor reliability. When sensor reliability is high, the AR image length is extended to provide comprehensive lane guidance coverage. When sensor reliability is low, the AR image length is reduced to minimize overlap with obstacles. This dynamic adjustment resolves the contradiction between maintaining adequate coverage and avoiding harmful overlaps.
Solution Approach 2:
The patent changes the parameter of AR image length based on sensor reliability conditions. By modifying this parameter dynamically, the system optimizes the balance between providing sufficient lane guidance coverage and preventing unwanted overlap with obstacles, thereby resolving the technical contradiction.
2Productivity
If the AR image is formed using sensor data with low reliability, then the shape may not conform accurately to the dividing line, but the system can still provide continuous guidance
Solution Approach 1:
The system dynamically adjusts AR image formation based on sensor reliability. When reliability is high, the full AR image is formed for accurate shape conformity. When reliability is low, the system reduces AR image length or suppresses formation to maintain productivity while accepting reduced precision, thus resolving the contradiction between continuous guidance and shape accuracy.
Solution Approach 2:
When sensor reliability is low, the system performs partial action by forming only a portion of the AR image or suppressing its formation entirely, rather than forming the complete image. This approach maintains continuous guidance functionality while avoiding the precision issues that would arise from forming an inaccurate full image.
3Object-affected harmful factors
If the AR image length is reduced to avoid overlapping with obstacles, then the coverage of lane guidance is improved, but the visibility and informational value is reduced
Solution Approach 1:
The system uses sensor reliability as feedback to determine the appropriate AR image length. This feedback mechanism ensures that the AR image length is optimized based on current detection conditions, maintaining adequate lane guidance information while avoiding overlap with obstacles. The feedback loop resolves the contradiction by dynamically balancing coverage and information quality.
Solution Approach 2:
The system changes the AR image length parameter based on sensor reliability conditions. When reliability is high, the parameter is increased to provide comprehensive lane guidance information. When reliability is low, the parameter is reduced to avoid obstacle overlap, thus resolving the contradiction between maintaining information quality and avoiding harmful overlaps.
Data Source
AI summary
The present disclosure provides a vehicle display control device including a processor and an image forming section configured to form an AR image having a shape that conforms to a dividing line of a lane in which a vehicle travels, using information from a sensor that recognizes the dividing line, wherein the processor is configured to control the image forming section so as to form the AR image, and determine a length, in an extension direction of the lane, of the AR image that the image forming section is caused to form, based on a reliability of a detection result of the sensor.