Dual-Exposure Tracking Camera for Motion-Blur-Resistant SLAM
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Solution Overview
Problem
The SLAM algorithm in VR systems is affected by motion blur, overexposure, and underexposure of captured frames due to rapid movement of tracking devices, leading to poor picture quality and reduced accuracy.
Innovation Solution
A tracking device with a camera and processor that alternates between two setting groups for capturing pictures, selects the appropriate picture based on speed, and adjusts luminance to maintain picture quality, enabling accurate pose determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the tracking device moves at high speed, then the tracking responsiveness is improved, but the picture quality deteriorates due to motion blur, overexposure, or underexposure
Solution Approach 1:
The patent applies dynamics by switching between different camera setting groups (first setting group with shorter exposure time and second setting group with longer exposure time) based on the current speed of the tracking device. When the device moves at high speed, the first setting group is used to reduce motion blur. When the device is stationary or moves slowly, the second setting group is used to improve picture quality. This dynamic adaptation resolves the contradiction between tracking speed and picture quality.
Solution Approach 2:
The patent changes camera parameters (exposure time, gain, ISO) by switching between different setting groups based on the detected speed of the tracking device. The processor determines the current speed and selects appropriate parameter sets from the stored setting groups, thereby adjusting the camera settings to maintain optimal picture quality across different motion conditions.
2Illumination intensity
If the exposure time is increased to improve picture quality, then the luminance is improved, but the motion blur increases when the device is moving
Solution Approach 1:
The patent dynamically adjusts exposure time based on the current speed of the tracking device. When the device is stationary or moves slowly, a longer exposure time is used to improve luminance and picture quality. When the device moves at high speed, the exposure time is reduced to minimize motion blur. This dynamic parameter adjustment resolves the contradiction between luminance and picture sharpness.
Data Source
AI summary
A tracking device includes a camera and a processor is disclosed. The camera is configured to capture several first pictures with a first setting group and several second pictures with a second setting group in turn. The processor is coupled to the camera. The processor is configured to select a current time point picture from several first pictures or several second pictures according to a current time point speed of the tracking device of the current time point, and to determine a current pose of the tracking device of the current time point according to the current time point picture.


