Vehicle Image Controller Light Reflection Profile Object Detection
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Solution Overview
Problem
Variable lighting conditions in images captured by vehicle imaging devices lead to unclear images, making it difficult to accurately detect and identify objects, as bright and dark areas are not properly balanced, and object characteristics such as position, shape, and size are not accurately detected.
Innovation Solution
An image controller in vehicles identifies light sources, generates light reflection profiles to predict reflection characteristics, and adjusts images based on these profiles to enhance object detection, focusing on specific pixels for luminance adjustments and using these profiles to accurately identify object characteristics like size, position, and distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are captured in variable lighting conditions, then the imaging devices can capture images from various sides of the vehicle, but the images become unclear with bright and dark areas making object detection difficult
Solution Approach 1:
The system performs preliminary actions by identifying light sources and generating light reflection profiles before object detection. The light reflection profile predicts reflection characteristics of light emitted from identified light sources, allowing the system to pre-compensate for lighting variations and shadows in the image, thereby improving object detection accuracy in variable lighting conditions
Solution Approach 2:
The system changes image parameters by adjusting the image based on the light reflection profile. This involves modifying luminance values of pixels according to the predicted reflection characteristics, transforming the image from having variable and problematic lighting conditions to having corrected and uniform lighting conditions suitable for accurate object detection
2Area of stationary object
If the image includes bright and dark areas due to variable lighting, then the imaging device captures the full scene, but the characteristics of objects cannot be accurately detected
Solution Approach 1:
The system applies local quality by making different parts of the image have different adjustment characteristics. The light reflection profile enables selective adjustment of luminance values for different regions based on their specific lighting conditions, allowing bright areas to be toned down and dark areas to be enhanced, thereby improving object characteristic detection while preserving the full image coverage area
3Device complexity
If lighting conditions are not adjusted, then the image processing is simpler, but the images remain unclear and object identification is hindered
Solution Approach 1:
The system introduces an intermediary element - the light reflection profile - that mediates between the raw image and the final processed image. This profile acts as a bridge that contains predicted reflection characteristics of light sources, allowing the system to systematically adjust image luminance based on scientifically-grounded light behavior models, thereby improving object identification reliability with manageable processing complexity
Data Source
AI summary
Methods and systems may provide for technology to identify one or more light sources. The technology generates a light reflection profile associated with the one or more light sources. The light reflection profile is to predict one or more of reflection characteristics of light emitted from the one or more light sources or identify at least one characteristic of the one or more light sources. The technology further one or more of adjusts a first image based on the light reflection profile or identify one or more characteristics of a first object in the first image based on the light reflection profile.