Integrated Distance Sensing for Low-Contrast Object Detection
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Solution Overview
Problem
Existing imaging systems face errors in distance calculation due to subjects with low contrast or high noise, leading to inaccurate positional deviation and distance estimation.
Innovation Solution
An electronic instrument that integrates multiple distance information acquisition units, including first, second, and third distance information acquisition units, to combine and generate integrated distance information, enhancing accuracy by utilizing imaging surface phase difference systems and radar devices for precise distance measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If imaging surface phase difference system is used for distance measurement, then distance information can be acquired, but erroneous evaluation occurs when subject has low contrast or image contains high noise
Solution Approach 1:
The patent combines multiple distance information acquisition methods (imaging surface phase difference system, end position detection, size detection) into a single integrated distance information generation unit. This merging allows the system to cross-validate results and maintain reliable distance measurement even when one method fails due to low contrast or noise conditions.
Solution Approach 2:
The patent changes the parameter of distance measurement by switching between different acquisition methods based on image quality conditions. When contrast or noise parameters indicate unreliable correlation evaluation, the system transitions to alternative measurement approaches such as detecting end positions or object sizes, thereby maintaining measurement precision under varying conditions.
2Measurement precision
If multiple distance information acquisition units are integrated, then distance calculation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements a distance information integration unit that performs multiple functions: it processes data from the imaging surface phase difference system, detects end positions of objects, measures object sizes, and integrates all these inputs to generate final distance information. This multi-functional unit reduces device complexity by consolidating multiple specialized components into a single versatile processing unit.
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 integrated approach improves distance calculation accuracy by reducing errors from low contrast and noise, providing reliable distance information for navigation and object detection.
Implementation Method 1
a subject distance is detected on the basis of a phase difference detected on an imaging surface (imaging surface phase difference system)
Implementation Method 2
a sensor in which a plurality of pixel regions having a photoelectric conversion function are two-dimensionally disposed
Data Source
AI summary
An electronic instrument includes a first distance information acquisition unit acquiring first distance information corresponding to an object included in an image signal, at least one of a second distance information acquisition unit acquiring second distance information on the basis of at least one of information of an end position of the object included in the image signal and a third distance information acquisition unit configured to acquire third distance information based on information of a size of the object included in the image signal, and a distance information integration unit generating integrated distance information by combining and integrating at least two of the first distance information, the second distance information, and the third distance information.