Object-Based Short Range Measurement Using Monocular and Binocular Fusion
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Solution Overview
Problem
Conventional monocular and binocular vision distance measurement schemes fail in short-range measurements due to limitations in field angle, mounting position, and high computational costs, resulting in 'blind zones' for distances less than 5 meters for monocular vision and 3 meters for binocular vision.
Innovation Solution
An object-based short-range measurement method that identifies a target object, acquires border information and geometric constraint points using edge localization and linear fitting, calculates monocular and binocular distance estimation values through pixel coordinates and disparity analysis, and combines these to obtain a final measurement value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If monocular vision distance measurement scheme is used, then measurement is possible in most scenarios, but it fails when distance is smaller than 5 meters due to field angle and mounting position limitations
Solution Approach 1:
The patent divides the measurement task into two segments: monocular measurement for normal range (≥5m) and binocular measurement for short range (<5m). This segmentation allows each method to operate in its optimal range, resolving the contradiction between general reliability and short-range adaptability.
Solution Approach 2:
The patent introduces an intermediary switching mechanism that determines which measurement method to use based on detected distance. This intermediary enables seamless transition between monocular and binocular methods, allowing the system to adapt to short-range scenarios while maintaining overall measurement reliability.
2Measurement precision
If binocular vision distance measurement scheme is used, then measurement accuracy depends on disparity calculation, but computational cost is high and creates a blind zone for distances smaller than 3 meters
Solution Approach 1:
The patent applies partial action by using binocular disparity calculation only when necessary (for short-range measurements <5m where monocular fails), rather than continuously. This reduces overall computational burden while maintaining precision where needed.
Solution Approach 2:
The patent changes the measurement parameter from monocular cues (for normal range) to binocular disparity (for short range). This parameter switching allows the system to maintain measurement precision across different distance ranges while avoiding the computational complexity of continuous binocular processing.
3Reliability
If disparity calculation is performed over entire image range, then measurement coverage is complete, but power consumption and processing time increase significantly
Solution Approach 1:
The patent segments the measurement process into two distinct paths: monocular measurement for most scenarios and binocular measurement only for short-range cases. This segmentation ensures complete measurement coverage while minimizing the energy-intensive binocular processing to only when absolutely necessary.
Solution Approach 2:
The patent performs binocular disparity calculation partially - only for objects detected at short range (<5m) - rather than across the entire image. This partial application of the computationally expensive binocular method maintains measurement coverage while dramatically reducing power consumption and processing time.
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
Enables reliable short-range distance measurement by overcoming the limitations of conventional methods, allowing accurate measurement of objects as close as 3 meters using binocular vision and improving reliability for monocular vision at closer ranges.
Implementation Method 1
The disparity is calculated mainly on the basis of a stereo matching principle, so the computational cost of the disparity is relatively high. This is because, the smaller the distance between the obstacle and the current vehicle, the larger a disparity value
Implementation Method 2
searching a border of the license plate using an edge enhancement algorithm, and localizing the license plate
Implementation Method 3
subjecting the acquired border information to linear fitting in the left-eye camera, and determining each intersection between two adjacent edges corresponding to the border information
Data Source
AI summary
Provided is an Aobject-based short range measurement method, a short range measurement device, a short range measurement system, and a storage medium. The short range measurement method includes: identifying a target object, and acquiring border information about an ROI of the target object; acquiring two groups of geometric constraint points of the target object with respect to a left-eye camera and a right-eye camera respectively; acquiring pixel coordinates of each geometric constraint point and a border pixel size corresponding to the border information, and calculating a monocular distance estimation value of the target object; acquiring an overall disparity of the two groups of geometric constraint points, and calculating a binocular distance estimation value of the target object in accordance with the overall disparity; and acquiring a final measurement value in accordance with the monocular distance estimation value and the binocular distance estimation value.