Stereo Camera Parallax Correction via Region Segmentation
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Solution Overview
Problem
Existing distance measurement apparatuses installed in vehicle cabins face reduced detection accuracy due to windshield distortion, affecting the measurement of distances to objects ahead of the vehicle.
Innovation Solution
A distance measuring device with an image acquiring unit, parallax detection unit, and error correction mechanisms that identify and correct parallax errors by dividing the imaging region into correction regions, allowing for individual parallax adjustments to improve measurement accuracy despite windshield distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two imaging devices are installed in the vehicle cabin to capture images ahead of the vehicle, then distance measurement can be performed using parallax detection, but measurement accuracy is reduced due to windshield distortion
Solution Approach 1:
The imaging region is divided into multiple correction regions (first correction region, second correction region, etc.), each with its own correction coefficient. This segmentation allows different parts of the image to be corrected using region-specific coefficients, thereby improving distance measurement accuracy while accounting for windshield distortion variations across different fields of view.
Solution Approach 2:
Different correction coefficients are applied to different correction regions based on their specific characteristics. The first correction coefficient is applied to the first correction region while the second correction coefficient is applied to the second correction region, allowing each region to be corrected according to its local distortion characteristics rather than using a uniform correction approach.
2Device complexity
If a single correction coefficient is used for the entire imaging region, then correction process is simple, but parallax errors vary across different regions due to windshield distortion
Solution Approach 1:
The imaging region is divided into multiple correction regions (first correction region, second correction region, etc.), each with its own correction coefficient. This segmentation allows different parts of the image to be corrected using region-specific coefficients, thereby improving distance measurement accuracy while accounting for windshield distortion variations across different fields of view.
Solution Approach 2:
Different correction coefficients are applied to different correction regions based on their specific characteristics. The first correction coefficient is applied to the first correction region while the second correction coefficient is applied to the second correction region, allowing each region to be corrected according to its local distortion characteristics rather than using a uniform correction approach.
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 device enhances measurement accuracy by correcting parallax errors in each correction region, ensuring precise distance calculations even with varying parallax errors caused by windshield distortion, without requiring dedicated calibration for the stereo camera.
Implementation Method 1
acquiring a plurality of images which are simultaneously captured from mutually different view points via a windshield of the vehicle
Implementation Method 2
a parallax of the object present in the two images is detected based on the two captured images, thereby detecting the distance up to the object
Implementation Method 3
The distance detection unit is mounted on the vehicle, transmitting/receiving electromagnetic waves to detect distance between the front object and the vehicle as electromagnetic waves detected distance
Data Source
AI summary
The distance measuring device detects parallax between right and left captured images where a front object is present ahead of the own vehicle, and calculate a parallax distance between the front object and the own vehicle. The radar device detects a radar detected distance therebetween. The distance measuring device calculates a parallax error based on the difference between the parallax calculated distance and the radar detected distance. A correction region is set in the right captured image and divided into correction divided regions. The distance measuring device sets an individual correction parallax for every correction divided regions, based on the parallax error and the identified correction divided regions.


