Focused 3D Point Cloud Scanning for ROI Detail Capture
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Solution Overview
Problem
Existing 3D scanning technologies, such as LiDAR, do not effectively capture additional information about objects within the scanned field-of-view, necessitating improved methods for generating focused 3D point clouds.
Innovation Solution
A system and method that utilizes an active 3D scanner with a scanning mechanism and energy emitting source to emit energy pulses selectively towards regions-of-interest, followed by analyzing and adjusting energy pulses to generate a focused 3D point cloud with enhanced information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If standard 3D scanning is performed across the entire field-of-view, then complete coverage is achieved, but information density and detail for specific objects of interest are insufficient
Solution Approach 1:
The patent applies local quality by differentiating the scanning process into two modes: a first scan that provides general coverage of the entire field-of-view, and a second focused scan that concentrates energy pulses on specific regions-of-interest (ROIs) containing objects of interest. This selective concentration of measurement resources on specific areas improves information density for target objects without requiring uniform high-density scanning across the entire FOV, thus resolving the contradiction between information completeness and resource consumption.
Solution Approach 2:
The patent implements preliminary action by performing a first scan of the entire field-of-view before conducting the second focused scan. This initial scan identifies potential regions-of-interest containing objects that require further detailed examination. By preparing this preliminary overview first, the system can then strategically allocate additional energy pulses to specific ROIs in the second scan, optimizing the balance between comprehensive coverage and detailed information gathering.
2Measurement precision
If multiple scans are performed to gather additional object information, then data accuracy improves, but scanning time increases
Solution Approach 1:
The patent resolves the time-precision contradiction by applying local quality to the scanning process: the first scan provides rapid general coverage of the entire field-of-view at lower resolution, while the second scan focuses computational and measurement resources only on specific regions-of-interest containing objects of interest. This selective approach achieves high measurement precision for target objects without requiring multiple complete scans of the entire FOV, thereby reducing total scanning time while maintaining or improving accuracy for critical objects.
3Loss of information
If energy pulses are concentrated on specific regions-of-interest, then information density for selected objects improves, but coverage of other areas decreases
Solution Approach 1:
The patent resolves this contradiction through preliminary action by executing a first scan that provides comprehensive coverage of the entire field-of-view before performing the second focused scan. This initial overview ensures that no areas are completely missed, while the subsequent focused scan on regions-of-interest enhances detail for specific objects. The combination of both scans ensures both broad coverage and detailed information are achieved, with the preliminary scan acting as a foundation that guides the focused follow-up measurements.
Solution Approach 2:
The patent applies segmentation by dividing the scanning process into two distinct phases: a first scan covering the entire field-of-view and a second scan targeting specific regions-of-interest. This segmentation allows the system to allocate resources differently across spatial and temporal dimensions, ensuring that broad coverage requirements are met in the first phase while detailed information gathering is optimized in the second phase, thus resolving the contradiction between comprehensive coverage and detailed information density.
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
Generates a focused 3D point cloud with increased detail and information about selected objects by selectively emitting energy pulses and adjusting scanning parameters, improving data accuracy and resolution.
Implementation Method 1
obtain first readings, from the at least one detector, based on first returns of the first energy pulses
Implementation Method 2
generate a focused 3D point cloud that includes more information associated with the selected objects
Data Source
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AI summary
A system and method for generating a focused three-dimensional (3D) point cloud is disclosed. A respective 3D point cloud is generated based on returns of a respective sequence of energy pulses that is emitted towards one or more regions-of-interest (ROIs) within a field- of-view (FOV) during a respective scan of the FOV, the returns including one or more secondary returns from one or more points within the FOV. During an additional scan of the FOV, subsequent to the respective scan, an additional sequence of energy pulses is emitted to generate a focused 3D point cloud that includes additional information regarding one or more selected points of the points associated with the secondary returns relative to the respective 3D point cloud.