Stereo Camera Distance Calculation with Dual Base Lengths
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Solution Overview
Problem
The accuracy of distance measurement in stereo matching is compromised by increased distance between the object and the camera, with camera noise and disturbances further lowering the measurement precision.
Innovation Solution
An image processing apparatus that generates first and second distance information based on phase differences from images captured by cameras with different base lengths, allowing for enhanced distance calculation accuracy by extracting distance information from overlapping ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single base length is used for stereo matching, then the device complexity is low, but the distance calculation accuracy deteriorates at long distances
Solution Approach 1:
The camera system is segmented into multiple groups, each with a different base length. The imaging apparatus is divided into a first imaging apparatus with base length BL1 and a second imaging apparatus with base length BL2, allowing distance measurement to be segmented into different ranges optimized by each base length
Solution Approach 2:
The base length parameter is changed across different camera groups. By using cameras with different base lengths (BL1, BL2, etc.), the system adapts to different distance ranges, improving measurement accuracy through parameter variation rather than using a fixed single parameter
2Measurement precision
If the distance between object and camera increases, then the measurement range is extended, but the phase difference measurement accuracy deteriorates
Solution Approach 1:
The system dynamically selects which camera group to use based on the distance to the object. When the object is far away, the system switches to a camera group with a longer base length to maintain adequate phase difference and measurement accuracy
Solution Approach 2:
The system adds another dimension to distance measurement by introducing multiple base lengths. Instead of relying on a single baseline, the system operates in a multi-dimensional space of base lengths, allowing accurate measurement across extended distance ranges
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
This approach improves the accuracy of distance measurement by utilizing multiple base lengths, reducing the impact of camera noise and disturbances, and enabling precise distance calculation across varying distances.
Implementation Method 1
generate first distance information about an object to be measured based on a phase difference between images provided by a plurality of first cameras
Data Source
AI summary
There is provided an image processing apparatus including a distance information generation portion configured to generate first distance information about an object to be measured based on a phase difference between images provided by a plurality of first cameras having a first base length, and generate second distance information about the object to be measured based on a phase difference between images provided by a plurality of second cameras having a second base length that is different from the first base length; and a distance extraction portion configured to extract distance information from an imaging position and the object to be measured based on the first distance information and the second distance information.