Predictive Exposure Settings for Mobile Imaging Motion Blur
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Solution Overview
Problem
Conventional imaging systems struggle with motion blur when capturing scenes with relative motion, particularly in mobile devices like autonomous vehicles, leading to inaccuracies in localization, navigation, and safety systems.
Innovation Solution
A predictive imaging system that determines exposure time and settings based on predicted relative motion, using a combination of expected robot motion, object motion, and light conditions, to reduce motion blur by adjusting aperture, gain, and exposure time in advance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If exposure time is increased to gather more light, then image brightness is improved, but motion blur increases due to relative motion in the scene
Solution Approach 1:
The system performs preliminary action by predicting future scene motion and pre-adjusting exposure settings before the actual image capture. The processor determines predicted scene motion based on current motion and future trajectory, then sets exposure time and other parameters in advance to compensate for anticipated motion, preventing motion blur before it occurs
Solution Approach 2:
The system applies dynamics by continuously adapting exposure settings based on real-time motion conditions. The processor dynamically adjusts exposure time, aperture, and gain parameters according to the predicted relative motion between the imaging device and scene, allowing the system to respond flexibly to changing motion states rather than using fixed exposure parameters
2Manufacturing precision
If exposure time is decreased to reduce motion blur, then image sharpness is improved, but image brightness deteriorates due to insufficient light gathering
Solution Approach 1:
The system employs parameter changes by adjusting multiple exposure parameters simultaneously - not just exposure time but also aperture size and gain settings. When short exposure time is required to freeze motion, the system compensates by increasing aperture or gain to maintain adequate image brightness, optimizing the combination of parameters rather than relying on exposure time alone
3Illumination intensity
If aperture is increased to improve light gathering, then image brightness is improved, but depth of field decreases leading to potential focus issues
Solution Approach 1:
The system applies parameter changes by coordinating adjustments across multiple exposure parameters. When aperture is increased to gather more light, the processor simultaneously adjusts exposure time and gain settings to compensate for the reduced depth of field, ensuring that the overall exposure triangle remains balanced and focus accuracy is maintained throughout the scene
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces motion blur in captured images, improving the reliability and accuracy of imaging systems in dynamic environments without the need for extensive post-processing, enhancing the performance of autonomous vehicles and other mobile imaging devices.
Implementation Method 1
typical imaging systems rely on sensors such as visual (red-green-blue (RGB) light) sensors and/or infrared sensors that detect incident waves of light or other electromagnetic radiation and convert the detected incident waves to an image
Data Source
AI summary
Disclosed herein are devices, systems, and methods for a predictive imaging system to determine exposure-related settings for a scene that is to be captured by an imagining device. The predictive imaging system determines a motion of the scene that is to be captured by an image sensor of the imaging device and determines an exposure-related configuration setting of the imaging device, where the exposure-related configuration setting is based on the determined motion of the scene. The predictive imaging system then generates an instruction for the imaging device to capture the scene using the determined configuration setting.